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Local And Edge Ai AI repositories
OSS Radar projects in the local and edge ai category.
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
- Category
- local and edge ai
- Stars
- 178,022
- Readiness
- ready (94/100 heuristic points; not a probability)
- Data confidence
- high
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · high confidence
Why: +580 stars in 7 days; 85 commits in 30 days
Why it may be a gem: consistent human and community activity; healthy maintenance and project fundamentals
Strongest signals: push recency, commit activity, contributor breadth. Risks: None identified. Missing inputs: None.
Capped lower bounds: lifetime contributors, response activity.
deepseek gemma gemma3 glm go golang
Something wrong? Category · Trend · Risk
Hundreds of models & providers. One command to find what runs on your hardware.
- Category
- local and edge ai
- Stars
- 31,239
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- high
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · high confidence
Why: +231 stars in 7 days; 100+ commits in 30 days
Why it may be a gem: healthy maintenance and project fundamentals; consistent human and community activity
Strongest signals: push recency, commit activity, contributor breadth. Risks: None identified. Missing inputs: None.
Capped lower bounds: 30-day commits, response activity.
gguf llm localai mlx skill unsloth
Something wrong? Category · Trend · Risk
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms
- Category
- local and edge ai
- Stars
- 13,141
- Readiness
- needs review (47/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +139 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-companion ai-vtuber ai-waifu chatbots live2d
Something wrong? Category · Trend · Risk
A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently.
- Category
- local and edge ai
- Stars
- 12,233
- Readiness
- needs review (68/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +21 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chatgpt cheat-sheet cli commands gpt-3 gpt-4
Something wrong? Category · Trend · Risk
A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!
- Category
- local and edge ai
- Stars
- 10,943
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 836 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatgpt code-llama codellama gpt gpt-4
Something wrong? Category · Trend · Risk
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete
- Category
- local and edge ai
- Stars
- 8,863
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: repository is archived, no push in 191 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gpu llm pytorch transformers
Something wrong? Category · Trend · Risk
PokeClaw (PocketClaw) — first on-device AI that controls your Android phone. Gemma 4, no cloud, no API key. Poke is short for Pocket.
- Category
- local and edge ai
- Stars
- 999
- Readiness
- needs review (56/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
accessibility ai-agent android-automation gemma4 litert local-llm
Something wrong? Category · Trend · Risk
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
- Category
- local and edge ai
- Stars
- 2,113
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 24/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 144 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agents ai-agents-framework ai-graphs ai-os fractals graph-of-thoughts
Something wrong? Category · Trend · Risk
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integr
- Category
- local and edge ai
- Stars
- 17,325
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +125 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent coze deepseek dify dingtalk discord
Something wrong? Category · Trend · Risk
Open-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://dis
- Category
- local and edge ai
- Stars
- 15,800
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +139 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agents ai fastapi langchain langgraph
Something wrong? Category · Trend · Risk
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.
- Category
- local and edge ai
- Stars
- 5,565
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +13 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai android arm edge edge-ai framework
Something wrong? Category · Trend · Risk
A visual playground for agentic workflows: Iterate over your agents 10x faster
- Category
- local and edge ai
- Stars
- 5,769
- Readiness
- needs review (66/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agents ai builder deepseek framework
Something wrong? Category · Trend · Risk
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
- Category
- local and edge ai
- Stars
- 3,250
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 21/100 · low confidence
Why: +166 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 123 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai deepseek langchain ollama rag
Something wrong? Category · Trend · Risk
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
- Category
- local and edge ai
- Stars
- 2,492
- Readiness
- needs review (47/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent gguf langchain large-language-models llamaindex llm
Something wrong? Category · Trend · Risk
Create characters in Unity with LLMs!
- Category
- local and edge ai
- Stars
- 1,692
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 17/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 100 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai character chat chatbot conversational-ai dialogue
Something wrong? Category · Trend · Risk
PipesHub is an open-source fully extensible AI context layer that unifies your business data for explainable enterprise search and agentic workflow automation.
- Category
- local and edge ai
- Stars
- 3,166
- Readiness
- ready (94/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +25 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agents ai drive glean gmail
Something wrong? Category · Trend · Risk
Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messagi
- Category
- local and edge ai
- Stars
- 1,420
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +23 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-assistant langchain langchain-python local-llm ollama privacy
Something wrong? Category · Trend · Risk
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
- Category
- local and edge ai
- Stars
- 1,400
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent chatgpt claude claude-3-5-sonnet deepseek deepseek-r1
Something wrong? Category · Trend · Risk
A RAG LLM co-pilot for browsing the web, powered by local LLMs
- Category
- local and edge ai
- Stars
- 1,516
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +2 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 558 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chrome-extension langchain langchain-js llm ollama react
Something wrong? Category · Trend · Risk
AI agent for Home Assistant — talk to your home, create automations in plain English, analyze cameras with face recognition, and get proactive anomaly alerts. Cloud LLMs or fully local via Ollama.
- Category
- local and edge ai
- Stars
- 281
- Readiness
- ready (96/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent anomaly-detection anthropic computer-vision gemini generative-ai
Something wrong? Category · Trend · Risk
Ask questions about your Obsidian notes using local AI. Privacy-first RAG with Ollama, LM Studio, or any OpenAI-compatible server. Obsidian plugin + Docker + PyPI.
- Category
- local and edge ai
- Stars
- 115
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chromadb docker fastapi langchain langgraph
Something wrong? Category · Trend · Risk
Open-source spreadsheets platform for deep research and document processing
- Category
- local and edge ai
- Stars
- 368
- Readiness
- high risk (44/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 316 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
document document-extraction document-parsing image-ocr langgraph llama
Something wrong? Category · Trend · Risk
Visual node-edge graph GUI editor for LangGraph and run with local LLM or online API
- Category
- local and edge ai
- Stars
- 265
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 195 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
docker docker-compose k8s kubernetes langgraph langgraph-gui
Something wrong? Category · Trend · Risk
Deep research tool for local knowledge base.
- Category
- local and edge ai
- Stars
- 257
- Readiness
- needs review (56/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 16/100 · low confidence
Why: +2 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 95 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic-ai deepresearch langchain langgraph llms ollama
Something wrong? Category · Trend · Risk
Fenix Ai Trading Bot with LangGraph and ollama and multipe providers
- Category
- local and edge ai
- Stars
- 146
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai autonomous-agents crewai ganador llm localllm
Something wrong? Category · Trend · Risk
🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative.
- Category
- local and edge ai
- Stars
- 913
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-agents automation chatgpt-alternative dify docker
Something wrong? Category · Trend · Risk
M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm.
- Category
- local and edge ai
- Stars
- 161
- Readiness
- needs review (65/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-assistant apple-silicon desktop-app fine-tuning llm lm-studio
Something wrong? Category · Trend · Risk
Your AI intranet: network the computers you already own for inference and training.
- Category
- local and edge ai
- Stars
- 133
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +21 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai distributed fine-tuning grpo homelab inference
Something wrong? Category · Trend · Risk
Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.
- Category
- local and edge ai
- Stars
- 54
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-sovereignty data-sovereignty eu-ai-act europe fine-tuning gdpr
Something wrong? Category · Trend · Risk
Run, quantize, and fine-tune LLMs on Apple Silicon. Pure Rust, no Python, no CUDA, no ONNX
- Category
- local and edge ai
- Stars
- 39
- Readiness
- ready (72/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon embeddings fine-tuning graphdb inference llm
Something wrong? Category · Trend · Risk
Powerful no-code LLM fine-tuner: upload data → train → deploy in minutes. Unsloth 2-5× acceleration · QLoRA/DPO/RLHF/PPO/ORPO · Reward Model training · GGUF export · vLLM inference · BLEU/ROUGE/BERTSc
- Category
- local and edge ai
- Stars
- 30
- Readiness
- needs review (66/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
abliteration ai dpo fine-tuning gguf gradio
Something wrong? Category · Trend · Risk
Locally fine-tuned Russian RAG models: document splitter, query expansion, retrieval embedder. Teacher distillation → GGUF → llama.cpp on AMD Vulkan. Commercial-OK licenses.
- Category
- local and edge ai
- Stars
- 21
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chunking fine-tuning gguf llama-cpp llm lora
Something wrong? Category · Trend · Risk
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
- Category
- local and edge ai
- Stars
- 5,170
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
diffusion diffusion-models electron llama llms lora
Something wrong? Category · Trend · Risk
'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation and MLX Models and other APIs running on your Mac through a single aggregated OpenAI-compatible API endpoint. Sup
- Category
- local and edge ai
- Stars
- 324
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai apple-foundation-models apple-intelligence apple-llm apple-llm-integration apple-silicon
Something wrong? Category · Trend · Risk
Phi-3, -3.5, and -4 for Mac: Locally-run Vision and Language Models for Apple Silicon
- Category
- local and edge ai
- Stars
- 278
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent finetuning llm lora mac macos
Something wrong? Category · Trend · Risk
Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.
- Category
- local and edge ai
- Stars
- 1,377
- Readiness
- needs review (62/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon deep-learning huggingface large-language-models llm llm-finetuning
Something wrong? Category · Trend · Risk
SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
- Category
- local and edge ai
- Stars
- 283
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: repository is archived, no push in 417 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon dpo large-language-models llm llm-inference llm-training
Something wrong? Category · Trend · Risk
Local, open-source AI app builder for power users ✨ v0 / Lovable / Replit / Bolt alternative 🌟 Star if you like it!
- Category
- local and edge ai
- Stars
- 21,134
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +52 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-app-builder anthropic artificial-intelligence bolt deepseek gemini
Something wrong? Category · Trend · Risk
An AI-powered search engine with a generative UI
- Category
- local and edge ai
- Stars
- 9,029
- Readiness
- ready (100/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +11 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
generative-ai generative-ui nextjs ollama react searxng
Something wrong? Category · Trend · Risk
Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.
- Category
- local and edge ai
- Stars
- 1,078
- Readiness
- needs review (60/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 28/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 170 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chat chat-application chatbot chatgpt gemma
Something wrong? Category · Trend · Risk
🦄🦄🦄AI赋能股票分析:AI加持的股票分析/选股工具。股票行情获取,AI热点资讯分析,AI资金/财务分析,涨跌报警推送。支持A股,港股,美股。支持市场整体/个股情绪分析,AI辅助选股等。数据全部保留在本地。支持DeepSeek,OpenAI, Ollama,LMStudio,AnythingLLM,硅基流动,火山方舟,阿里云百炼等平台或模型。
- Category
- local and edge ai
- Stars
- 7,159
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +74 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-tools deepseek golang lmstudio naiveui ollama
Something wrong? Category · Trend · Risk
Local AI app and inference engine for agents. Run open-weight LLMs locally — private, 100% offline on your computer. Join our Discord: https://discord.com/8wGSsvmg4V
- Category
- local and edge ai
- Stars
- 1,232
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +33 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-chat ai-tools apple-silicon chatgpt deepseek desktop-app
Something wrong? Category · Trend · Risk
LLM Benchmark for Throughput via Ollama (Local LLMs)
- Category
- local and edge ai
- Stars
- 382
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 202 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-tools benchmark llm ollama
Something wrong? Category · Trend · Risk
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
- Category
- local and edge ai
- Stars
- 5,736
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
api-server command-line-tool developer-tools gguf huggingface huggingface-models
Something wrong? Category · Trend · Risk
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
- Category
- local and edge ai
- Stars
- 5,332
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2,551 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon gemma gemma4 gemma4-26b-a4b gpgpu llm
Something wrong? Category · Trend · Risk
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
- Category
- local and edge ai
- Stars
- 1,448
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agents ai llama llm llm-inference local
Something wrong? Category · Trend · Risk
LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS.
- Category
- local and edge ai
- Stars
- 868
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gguf ios llm llm-inference macos swift
Something wrong? Category · Trend · Risk
Open-source local AI workspace — advancing on-device inference.
- Category
- local and edge ai
- Stars
- 311
- Readiness
- ready (80/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +78 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-runtime apple-silicon desktop llm llm-inference local-ai
Something wrong? Category · Trend · Risk
电子鹦鹉 / Toy Language Model
- Category
- local and edge ai
- Stars
- 294
- Readiness
- ready (74/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai gpt llm llm-inference llm-training on-device
Something wrong? Category · Trend · Risk
High-performance lightweight proxy and load balancer for LLM infrastructure. Intelligent routing, automatic failover and unified model discovery across local and remote inference backends.
- Category
- local and edge ai
- Stars
- 269
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai amd golang intel llama-cpp llamacpp
Something wrong? Category · Trend · Risk
Llama 3+ inference in pure Java
- Category
- local and edge ai
- Stars
- 817
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 17/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 105 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chatgpt genai gguf huggingface java llama
Something wrong? Category · Trend · Risk
GPU environment and cluster management with LLM support
- Category
- local and edge ai
- Stars
- 660
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: repository is archived, no push in 813 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
bash container-runtime containers data-science deep-learning docker
Something wrong? Category · Trend · Risk
✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)
- Category
- local and edge ai
- Stars
- 483
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agentic-ai deepseek deepseek-chat deepseek-r1 embedding
Something wrong? Category · Trend · Risk
Self-hosted personalized AI in a mirror.
- Category
- local and edge ai
- Stars
- 482
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 212 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai llm-inference local-llm magicmirror ollama raspberry-pi
Something wrong? Category · Trend · Risk
A multi-platform SwiftUI frontend for running local LLMs with Apple's MLX framework.
- Category
- local and edge ai
- Stars
- 434
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 649 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ios llm-inference macos mlx mlx-swift swiftui
Something wrong? Category · Trend · Risk
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
- Category
- local and edge ai
- Stars
- 932
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +13 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-architecture ai-agents ai-education ai-from-scratch artificial-intelligence llama
Something wrong? Category · Trend · Risk
Bringing together outstanding artificial intelligence (AI) open source projects from around the world.
- Category
- local and edge ai
- Stars
- 1,237
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 23/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 560 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent ai chatgpt functioncall gemini llm
Something wrong? Category · Trend · Risk
Spring AI framework for Java that plans, executes, and improves itself — agents detect capability gaps at runtime and generate validated skills on the fly.
- Category
- local and edge ai
- Stars
- 20
- Readiness
- ready (79/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-orchestration agentic-ai agentic-framework ai-agent-framework ai-agents ai-framework
Something wrong? Category · Trend · Risk
Local coding agent with neat UI
- Category
- local and edge ai
- Stars
- 393
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 446 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-agents ai-framework javascript langchain local-llm
Something wrong? Category · Trend · Risk
llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2
- Category
- local and edge ai
- Stars
- 260
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
audio cpp embeddings ggml gguf gpt
Something wrong? Category · Trend · Risk
Ollama SDK for .NET
- Category
- local and edge ai
- Stars
- 205
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai autosdk chat-completion csharp dotnet embeddings
Something wrong? Category · Trend · Risk
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
- Category
- local and edge ai
- Stars
- 3,994
- Readiness
- ready (98/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +262 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent ai anthropic api budgets claude
Something wrong? Category · Trend · Risk
AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.
- Category
- local and edge ai
- Stars
- 1,239
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai autoscaler faster-whisper inference-operator k8s kubernetes
Something wrong? Category · Trend · Risk
The open-source, agent-first creative workspace.
- Category
- local and edge ai
- Stars
- 454
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- high
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · high confidence
Why: +15 stars in 7 days; 100+ commits in 30 days
Why it may be a gem: consistent human and community activity; healthy maintenance and project fundamentals; open issue backlog is stable or shrinking
Strongest signals: push recency, commit activity, contributor breadth. Risks: None identified. Missing inputs: None.
Capped lower bounds: 30-day commits, response activity.
anthropic cerebras cohere deepseek fal gemini
Something wrong? Category · Trend · Risk
Home Assistant LLM integration for local OpenAI-compatible services (llamacpp, vllm, etc)
- Category
- local and edge ai
- Stars
- 255
- Readiness
- ready (94/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agents ai-assistant conversation-agent home-assistant homeassistant homeassistant-integration
Something wrong? Category · Trend · Risk
a community oriented 1:1, vLLM-alike (Continuous batching, paged KV) engine in C++ with additional features
- Category
- local and edge ai
- Stars
- 229
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cpp20 llm mlx vllm
Something wrong? Category · Trend · Risk
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, mo
- Category
- local and edge ai
- Stars
- 186
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai apple-silicon autoscaling edge-computing gguf gpu
Something wrong? Category · Trend · Risk
DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document anal
- Category
- local and edge ai
- Stars
- 145
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agents document-analysis hybrid-search langchain langgraph-supervisor-py llama-cpp
Something wrong? Category · Trend · Risk
Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.
- Category
- local and edge ai
- Stars
- 139
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
llama-cpp llama-server llamacpp llm llm-inference llm-router
Something wrong? Category · Trend · Risk
Local diagnostic CLI for NVIDIA DGX Spark (GB10). Detects power caps, UMA pressure, thermal risk, CUDA 13/SM_121 wheel mismatches, Docker issues, and validates vLLM/Ollama/llama.cpp/SGLang recipes.
- Category
- local and edge ai
- Stars
- 99
- Readiness
- ready (73/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cli dgx dgx-spark diagnostics gb10 grace-blackwell
Something wrong? Category · Trend · Risk
EmbodiedAgents is a fully-loaded ROS2 based framework for creating interactive physical agents that can understand, remember, and act upon contextual information from their environment.
- Category
- local and edge ai
- Stars
- 66
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deeplearning embodied-agent embodied-ai generative-ai godel-machine llm
Something wrong? Category · Trend · Risk
End-to-end documentation to set up your own local & fully private LLM server on Debian. Equipped with chat, web search, RAG, model management, MCP servers, image generation, and TTS.
- Category
- local and edge ai
- Stars
- 826
- Readiness
- needs review (67/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
comfyui debian docker huggingface kokoro-fastapi linux
Something wrong? Category · Trend · Risk
Make Discord your LLM frontend - Supports any OpenAI compatible API (OpenRouter, Ollama and more)
- Category
- local and edge ai
- Stars
- 821
- Readiness
- ready (77/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
bot chatbot discord discord-bot gemini gpt-5
Something wrong? Category · Trend · Risk
EfficientSAM3 compresses SAM3 into lightweight, edge-friendly models via progressive knowledge distillation for fast promptable concept segmentation and tracking.
- Category
- local and edge ai
- Stars
- 648
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
artificial-intelligence computer-vision edge-ai efficient-ai segment-anything segmentation
Something wrong? Category · Trend · Risk
Versatile Almost Local, Eventually Reasonable Assistant 🔫
- Category
- local and edge ai
- Stars
- 330
- Readiness
- needs review (48/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent ai-assistant cross-platform desktop-app function-calling llama
Something wrong? Category · Trend · Risk
☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!
- Category
- local and edge ai
- Stars
- 308
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 193 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
huggingface inference inference-platform kubernetes llamacpp llm
Something wrong? Category · Trend · Risk
LLM 并发性能测试工具,支持自动化压力测试和性能报告生成。
- Category
- local and edge ai
- Stars
- 271
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +3 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, license. Risks: no push in 240 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
benchmark ollama vllm
Something wrong? Category · Trend · Risk
🔥 1Panel is a modern, open-source VPS control panel — and the only one with native AI agent support. Run Ollama models, deploy OpenClaw agents, and manage your entire server stack from one clean web i
- Category
- local and edge ai
- Stars
- 36,454
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- high
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · high confidence
Why: +73 stars in 7 days; 100+ commits in 30 days
Why it may be a gem: healthy maintenance and project fundamentals; consistent human and community activity
Strongest signals: push recency, commit activity, contributor breadth. Risks: None identified. Missing inputs: None.
Capped lower bounds: 30-day commits, lifetime contributors, response activity.
agent clawdbot copaw docker docker-ui hermes
Something wrong? Category · Trend · Risk
Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme
- Category
- local and edge ai
- Stars
- 17,585
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +78 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai codex gemini github grok-cli ollama
Something wrong? Category · Trend · Risk
🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia.
- Category
- local and edge ai
- Stars
- 12,993
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +142 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent browser browseros chromium hacktoberfest linux
Something wrong? Category · Trend · Risk
Ollama Python library
- Category
- local and edge ai
- Stars
- 10,386
- Readiness
- ready (75/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +25 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ollama python
Something wrong? Category · Trend · Risk
Production ready toolkit to run AI locally
- Category
- local and edge ai
- Stars
- 10,302
- Readiness
- ready (80/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android apple-intelligence cpp diffusion-models edge flutter
Something wrong? Category · Trend · Risk
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encry
- Category
- local and edge ai
- Stars
- 8,861
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +35 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
academia anthropic arxiv brave deep-research encryption
Something wrong? Category · Trend · Risk
Use your locally running AI models to assist you in your web browsing
- Category
- local and edge ai
- Stars
- 8,125
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +32 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chat-application chrome-extension localllm ollama open-source
Something wrong? Category · Trend · Risk
Open-source Claude Design alternative. One-click import your Claude Code / Codex API key. Prompt → prototype / slides / PDF. Multi-model (Claude, GPT, Gemini, Kimi, GLM, Ollama). BYOK, local-first, MI
- Category
- local and edge ai
- Stars
- 7,680
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +52 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-design anthropic byok claude claude-code claude-design
Something wrong? Category · Trend · Risk
The automatic work journal/time tracker. Privately turns your screen into a timeline of what you actually accomplished. Open-source and local-first.
- Category
- local and edge ai
- Stars
- 6,828
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +23 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatgpt claude gemini llm lmstudio
Something wrong? Category · Trend · Risk
Self-hosted AI accounting app. LLM analyzer for receipts, invoices, transactions with custom prompts and categories
- Category
- local and edge ai
- Stars
- 6,589
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +27 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
accounting ai-analysis currency-exchange expenses gemini invoices
Something wrong? Category · Trend · Risk
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
- Category
- local and edge ai
- Stars
- 6,164
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +87 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai apple-silicon benchmarks cli command-line-tool gguf
Something wrong? Category · Trend · Risk
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
- Category
- local and edge ai
- Stars
- 5,883
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +33 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai automation gemma llama mistral ollama
Something wrong? Category · Trend · Risk
视频转字幕、字幕翻译、AI 配音与声音克隆、字幕烧录——免费开源的一站式桌面工具。基于 Whisper / FunASR 等本地模型离线语音转文字,批量处理 + 全平台 GPU 加速,跨 Windows / macOS / Linux。Free, open-source desktop app to generate, translate, dub & burn video subtitles —
- Category
- local and edge ai
- Stars
- 4,486
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +82 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deepseek faster-whisper fireredasr funasr ollama openai
Something wrong? Category · Trend · Risk
The media player for language learning, with dual subtitles, AI-generated subtitles, real-time translation, and more!
- Category
- local and edge ai
- Stars
- 4,004
- Readiness
- needs review (69/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +28 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
asr csharp flyleaf language-learning llm media-player
Something wrong? Category · Trend · Risk
Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves
- Category
- local and edge ai
- Stars
- 3,940
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent ai computeruse deepseek manus ollama
Something wrong? Category · Trend · Risk
Fully customizable AI chatbot component for your website
- Category
- local and edge ai
- Stars
- 3,690
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-chatbot chat chatbot chatgpt claude
Something wrong? Category · Trend · Risk
Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).
- Category
- local and edge ai
- Stars
- 3,511
- Readiness
- ready (80/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +8 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
claude deepseek gemma knowledge-base knowledge-management llm
Something wrong? Category · Trend · Risk
Small self-contained pure-Go web server with Lua, Teal, Markdown, HTTP/2, QUIC, Redis, TypeScript, React 19, SQLite, and PostgreSQL support ++
- Category
- local and edge ai
- Stars
- 3,023
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
algernon build-less cross-platform fasthttp go http3
Something wrong? Category · Trend · Risk
The pretty much "official" DSPy framework for Typescript
- Category
- local and edge ai
- Stars
- 2,860
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai anthropic claude cohere dspy gemini
Something wrong? Category · Trend · Risk
Gonzo! The Go based TUI log analysis tool
- Category
- local and edge ai
- Stars
- 2,745
- Readiness
- ready (74/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai golang logs ollama openai opentelemetry
Something wrong? Category · Trend · Risk
Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely.
- Category
- local and edge ai
- Stars
- 2,623
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android anthropic chatbot chatgpt claude deepseek
Something wrong? Category · Trend · Risk
Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI
- Category
- local and edge ai
- Stars
- 2,606
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +13 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatgpt llm mistral ocr ollama
Something wrong? Category · Trend · Risk
the terminal client for LLMs
- Category
- local and edge ai
- Stars
- 2,414
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
llm llms machine-learning ollama python terminal
Something wrong? Category · Trend · Risk
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces,
- Category
- local and edge ai
- Stars
- 2,327
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +8 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent comfyui dify flux gemini gguf
Something wrong? Category · Trend · Risk
Translate full-length books and documents with Ollama, OpenAI (comptatible), Gemini, Mistral, Poe or OpenRouter. Preserves formatting. Resumes where you left off. No file size limits.
- Category
- local and edge ai
- Stars
- 2,263
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +22 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
docx epub gemini gemini-api llm lmstudio
Something wrong? Category · Trend · Risk
快速提取音视频内容,整理成一份结构化的markdown笔记
- Category
- local and edge ai
- Stars
- 2,251
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +15 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai asr funasr ollama python qwen2
Something wrong? Category · Trend · Risk
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
- Category
- local and edge ai
- Stars
- 2,212
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic-ai agentic-workflow agents function-calling llama-cpp llamafile
Something wrong? Category · Trend · Risk
kubewall - Single-Binary Kubernetes Dashboard with Multi-Cluster Management & AI Integration. (OpenAI / Claude 4 / Gemini / DeepSeek / OpenRouter / Ollama / Qwen / LMStudio)
- Category
- local and edge ai
- Stars
- 1,924
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatgpt cloud-native dashboard developer-tools devops
Something wrong? Category · Trend · Risk
Native iOS and Android client for Open WebUI, plus direct OpenAI-compatible, Ollama, and OpenRouter connections and self-hosted Hermes agents.
- Category
- local and edge ai
- Stars
- 1,913
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +60 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agents ai-assistant android chat chatbot cross-platform
Something wrong? Category · Trend · Risk
Go manage your Ollama models
- Category
- local and edge ai
- Stars
- 1,830
- Readiness
- ready (79/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ggml gguf linux llm macos
Something wrong? Category · Trend · Risk
🦙 Local and online AI hub
- Category
- local and edge ai
- Stars
- 1,614
- Readiness
- ready (79/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
adwaita flatpak gnome gtk4 ollama ollama-api
Something wrong? Category · Trend · Risk
OpenAI & Ollama compatible API powered by Codex
- Category
- local and edge ai
- Stars
- 1,526
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatgpt codex gpt-5 ollama openai
Something wrong? Category · Trend · Risk
The easiest way to use Ollama in .NET
- Category
- local and edge ai
- Stars
- 1,394
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai gpt ichatclient library llama llamacpp
Something wrong? Category · Trend · Risk
A Web Interface for chatting with your local LLMs via the ollama API
- Category
- local and edge ai
- Stars
- 1,253
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai gui ollama
Something wrong? Category · Trend · Risk
PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.
- Category
- local and edge ai
- Stars
- 1,202
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +14 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-framework ai-agent gemma ios litert local-agent
Something wrong? Category · Trend · Risk
Agents-flex is A lightweight Java AI agent development framework (positioned as a counterpart to Spring AI). It supports features such as RAG, MCP, Skills, Text2SQL , LLM Wiki, Sub-agents, Web Search,
- Category
- local and edge ai
- Stars
- 1,058
- Readiness
- ready (94/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent ai chatbot chatgpt gpt langchain4j
Something wrong? Category · Trend · Risk
🤖 可 DIY 的 多模态 AI 聊天机器人 | 🚀 快速接入 微信、 QQ、Telegram、等聊天平台 | 🦈支持DeepSeek、Grok、Claude、Ollama、Gemini、OpenAI | 工作流系统、网页搜索、AI画图、人设调教、虚拟女仆、语音对话 |
- Category
- local and edge ai
- Stars
- 18,898
- Readiness
- needs review (46/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +16 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 405 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
bard bot chatglm-6b chatgpt deepseek discord
Something wrong? Category · Trend · Risk
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
- Category
- local and edge ai
- Stars
- 15,294
- Readiness
- needs review (48/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 17/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 99 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chatbot chatglm chatgpt-api claude dalle3 ernie
Something wrong? Category · Trend · Risk
Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
- Category
- local and edge ai
- Stars
- 5,983
- Readiness
- needs review (71/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ios large-language-model llama llama2 llm mistral
Something wrong? Category · Trend · Risk
Ollama JavaScript library
- Category
- local and edge ai
- Stars
- 4,332
- Readiness
- needs review (50/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 28/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, license. Risks: no push in 170 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
javascript js ollama
Something wrong? Category · Trend · Risk
Artificial Intelligence Infrastructure-as-Code Generator.
- Category
- local and edge ai
- Stars
- 3,784
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 23/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 136 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai amazon-bedrock chatgpt iac llms ollama
Something wrong? Category · Trend · Risk
🔍 AI search engine - self-host with local or cloud LLMs
- Category
- local and edge ai
- Stars
- 3,540
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 679 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
fastapi generative-ui gpt-4o groq llm nextjs
Something wrong? Category · Trend · Risk
A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
- Category
- local and edge ai
- Stars
- 2,888
- Readiness
- needs review (57/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 27/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 163 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai behaviour-analysis cv deep-learning deepstream face-recognition
Something wrong? Category · Trend · Risk
AingDesk是一款简单好用的AI助手,支持知识库、模型API、分享、联网搜索、智能体,它还在飞快成长中。 AingDesk is a simple and easy-to-use AI assistant that supports knowledge bases, model APIs, sharing, internet search, and intelligent agents. It
- Category
- local and edge ai
- Stars
- 2,529
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deepseek electron llm localai nodejs ollama
Something wrong? Category · Trend · Risk
A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
- Category
- local and edge ai
- Stars
- 2,479
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 666 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatgpt claude gemma gpt large-language-models
Something wrong? Category · Trend · Risk
✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.
- Category
- local and edge ai
- Stars
- 2,471
- Readiness
- needs review (45/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 830 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent ai autonomous-agents bot devin llama2
Something wrong? Category · Trend · Risk
Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.
- Category
- local and edge ai
- Stars
- 2,465
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 23/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 136 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai multi-agent neo4j offline ollama open-source
Something wrong? Category · Trend · Risk
A unified interface for working with LLMs in Laravel
- Category
- local and edge ai
- Stars
- 2,406
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 23/100 · low confidence
Why: +6 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 140 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai anthropic claude hacktoberfest laravel llm
Something wrong? Category · Trend · Risk
A 100% offline, fully portable, zero-trace AI (Ollama + Llama 3 + AnythingLLM) that runs natively from a USB drive on Windows and Mac.
- Category
- local and edge ai
- Stars
- 2,220
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 70/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, license. Risks: repository is archived. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ollama portable-ai usb-drive
Something wrong? Category · Trend · Risk
A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents
- Category
- local and edge ai
- Stars
- 2,107
- Readiness
- high risk (44/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 544 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai automation cli-tool file-management file-renamer files
Something wrong? Category · Trend · Risk
Free, high-quality text-to-speech API endpoint to replace OpenAI, Azure, or ElevenLabs
- Category
- local and edge ai
- Stars
- 2,023
- Readiness
- needs review (48/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +14 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 402 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai azure chatgpt claude edge-tts elevenlabs
Something wrong? Category · Trend · Risk
Mac app for Ollama
- Category
- local and edge ai
- Stars
- 1,911
- Readiness
- high risk (43/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: limited evidence; inspect maintenance signals before adopting
Strongest signals: issue load, documentation. Risks: no push in 513 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai llama3 llm llma llma2 llms
Something wrong? Category · Trend · Risk
A modern and easy-to-use client for Ollama
- Category
- local and edge ai
- Stars
- 1,794
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +11 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai android app linux llama localai
Something wrong? Category · Trend · Risk
Fully-featured web interface for Ollama LLMs
- Category
- local and edge ai
- Stars
- 1,420
- Readiness
- needs review (61/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 428 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatbot gemma llm local localstorage
Something wrong? Category · Trend · Risk
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
- Category
- local and edge ai
- Stars
- 1,413
- Readiness
- needs review (45/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
docker docker-compose ollama
Something wrong? Category · Trend · Risk
The TypeScript library for building AI applications.
- Category
- local and edge ai
- Stars
- 1,319
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: repository is archived, no push in 749 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai artificial-intelligence chatbot claude dall-e embedding
Something wrong? Category · Trend · Risk
Chat app for Android that supports answers from multiple LLMs at once. Bring your own API key AI client. Supports OpenAI, Anthropic, Google, and Ollama. Designed with Material3 & Compose.
- Category
- local and edge ai
- Stars
- 1,186
- Readiness
- needs review (59/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android anthropic chatbots chatgpt claude collaborate
Something wrong? Category · Trend · Risk
A minimal LLM chat app that runs entirely in your browser
- Category
- local and edge ai
- Stars
- 1,171
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 299 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatbot llm local-ai ollama
Something wrong? Category · Trend · Risk
NativeMind: Your fully private, open-source, on-device AI assistant
- Category
- local and edge ai
- Stars
- 1,114
- Readiness
- needs review (45/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 23/100 · low confidence
Why: +24 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 137 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chrome-extension llm local-ai nativemind offline-ai
Something wrong? Category · Trend · Risk
AI-powered Jupyter Notebook. Use AI to generate and edit code cells, automatically fix errors, and chat with your data
- Category
- local and edge ai
- Stars
- 1,106
- Readiness
- high risk (43/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai analysis analytics data-science jupyter jupyter-notebook
Something wrong? Category · Trend · Risk
Chat with your documents using local AI
- Category
- local and edge ai
- Stars
- 1,080
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 762 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chat desktop electron llama2 llm mistral
Something wrong? Category · Trend · Risk
turnkey self-hosted offline transcription and diarization service with llm summary
- Category
- local and edge ai
- Stars
- 944
- Readiness
- high risk (44/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 201 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
automation diarization llm mistral-7b ollama speaker-diarization
Something wrong? Category · Trend · Risk
AIRecon is an autonomous cybersecurity agent that combines a self-hosted Large Language Model (Ollama) with a Kali Linux Docker sandbox and a Textual TUI. It is designed to automate security assessmen
- Category
- local and edge ai
- Stars
- 806
- Readiness
- needs review (65/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agents automation bugbounty cli ollama penetration-testing
Something wrong? Category · Trend · Risk
GPU worker client for the Talos network. Pairs with your Talos account, serves open-model inference jobs over a WebSocket, and reports uptime for payouts.
- Category
- local and edge ai
- Stars
- 798
- Readiness
- needs review (69/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai distributed-computing gpu llm ollama python
Something wrong? Category · Trend · Risk
Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing. Your notes stay yours.
- Category
- local and edge ai
- Stars
- 795
- Readiness
- needs review (57/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
git-based-wiki karpathy knowledge-base llm-knowledge-base llm-pipeline llm-tools
Something wrong? Category · Trend · Risk
Wise and powerful personal assistant, available in your nearest terminal
- Category
- local and edge ai
- Stars
- 749
- Readiness
- needs review (47/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 384 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chat chatbot cli devtools hacktoberfest
Something wrong? Category · Trend · Risk
ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation
- Category
- local and edge ai
- Stars
- 701
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: repository is archived, no push in 326 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
anthropic comfyui flux gemini graphrag groq
Something wrong? Category · Trend · Risk
Autonomous Android and computer use using any LLM (local or remote)
- Category
- local and edge ai
- Stars
- 696
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 24/100 · low confidence
Why: +4 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 143 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agents ai-agents-framework android-automation antrophic computer-use framework
Something wrong? Category · Trend · Risk
🤖 TUI for LLMs
- Category
- local and edge ai
- Stars
- 679
- Readiness
- high risk (43/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chatgpt cli llamacpp llm ollama ratatui
Something wrong? Category · Trend · Risk
Local, OpenAI-compatible text-to-speech (TTS) API using Chatterbox, enabling users to generate voice cloned speech anywhere the OpenAI API is used (e.g. Open WebUI, AnythingLLM, etc.)
- Category
- local and edge ai
- Stars
- 661
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +29 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 228 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai chatgpt chatterbox cuda docker elevenlabs
Something wrong? Category · Trend · Risk
A personal wearable AI that runs locally
- Category
- local and edge ai
- Stars
- 654
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +3 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 873 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ble bluetooth esp32 llama2 mistral
Something wrong? Category · Trend · Risk
a magical LLM desktop client that makes it easy for *anyone* to use LLMs and MCP
- Category
- local and edge ai
- Stars
- 627
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 16/100 · low confidence
Why: +2 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 291 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gemini llm llm-client llms local-llm localai
Something wrong? Category · Trend · Risk
Fast, stateless LLM for your shell: qq answers; qa runs commands
- Category
- local and edge ai
- Stars
- 625
- Readiness
- needs review (61/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai claude cli codex gpt-oss-120b groq
Something wrong? Category · Trend · Risk
LLM for Long Text Summary (Comprehensive Bulleted Notes)
- Category
- local and edge ai
- Stars
- 623
- Readiness
- high risk (41/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 22/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 398 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
generative-ai gpt llm localai localgpt ollama
Something wrong? Category · Trend · Risk
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and
- Category
- local and edge ai
- Stars
- 604
- Readiness
- needs review (60/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 574 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
aiagents graphrag llms ollama openai openwebui
Something wrong? Category · Trend · Risk
Use Code Llama with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.
- Category
- local and edge ai
- Stars
- 571
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 737 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
assistant code code-llama codellama continue continuedev
Something wrong? Category · Trend · Risk
WitNote is a local-first AI writing companion for macOS and Windows.
- Category
- local and edge ai
- Stars
- 563
- Readiness
- high risk (39/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 18/100 · low confidence
Why: +11 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 107 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-writing ai-writing-assistant electron i18n local-ai local-first
Something wrong? Category · Trend · Risk
基于 Java Web 项目的 SpringBoot 框架初始化模板,适配最新版本Spring AI,该模板整合了常用的框架(Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、Caffeine以及MongoDB等),广泛支持JDK11和JDK17,部分版本兼容JDK8,同时该模板适用于前后端分离项目启动开发,保
- Category
- local and edge ai
- Stars
- 542
- Readiness
- needs review (60/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
caffeine elastic minio mongodb mybatis-plus ollama
Something wrong? Category · Trend · Risk
Generate and brainstorm ideas while creating your notes using Large Language Models (LLMs) from Ollama, LM Studio, Anthropic, Google Gemini, Mistral AI, OpenAI, and more for Obsidian.
- Category
- local and edge ai
- Stars
- 534
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +3 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 694 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
anthropic-claude mistralai obsidian-plugin ollama openai-api
Something wrong? Category · Trend · Risk
Mac compatible Ollama Voice
- Category
- local and edge ai
- Stars
- 518
- Readiness
- needs review (47/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 351 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai assistant chatbot llm macos mistral
Something wrong? Category · Trend · Risk
From anywhere you can type, query and stream the output of any script (e.g. an LLM)
- Category
- local and edge ai
- Stars
- 503
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 847 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
bash command context cross-platform gpt llm
Something wrong? Category · Trend · Risk
Local first semantic code search and chat | Leverage custom copilots with fine-tuning datasets from code in Alpaca, Conversational, Completion and Instruction format
- Category
- local and edge ai
- Stars
- 493
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: repository is archived, no push in 238 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
codellama faiss gpt huggingface langchain llama2
Something wrong? Category · Trend · Risk
LiberSonora,寓意“自由的声音”,是一个 AI 赋能的、强大的、开源有声书工具集,包含智能字幕提取、AI标题生成、多语言翻译等功能,支持 GPU 加速、批量离线处理。LiberSonora, meaning "The Voice of Freedom," is an AI-powered robust open-source audiobook toolkit.
- Category
- local and edge ai
- Stars
- 466
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 21/100 · low confidence
Why: +2 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 373 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
audio-books deepseek llm ollama subtitle subtitles-generator
Something wrong? Category · Trend · Risk
Super lightweight Ollama + Qwen Code alternative to run Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
- Category
- local and edge ai
- Stars
- 464
- Readiness
- needs review (50/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 226 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agents cli coding deepseek gemma
Something wrong? Category · Trend · Risk
The world’s #1 end-to-end job agent: semantic filters, ATS-optimized resumes, referrals from hiring managers — 100% hands-free.
- Category
- local and edge ai
- Stars
- 460
- Readiness
- high risk (39/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 26/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 157 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
browser-automation job-search-automation ollama on-device-ai
Something wrong? Category · Trend · Risk
Open-source batch OCR workbench — a free, local alternative to ABBYY FineReader. Powered by Ollama + GLM-OCR + PP-DocLayoutV3, ~0.5s/page on RTX 4090. Three-panel editor, layout-aware, PDF/image batch
- Category
- local and edge ai
- Stars
- 457
- Readiness
- needs review (63/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
abbyy-alternative batch-ocr book-digitization document-ocr document-processing glm-ocr
Something wrong? Category · Trend · Risk
A Swift client library for interacting with Ollama. Supports structured outputs, tool use, and vision models.
- Category
- local and edge ai
- Stars
- 453
- Readiness
- needs review (47/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +2 stars in 30 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, license. Risks: no push in 379 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ollama swift
Something wrong? Category · Trend · Risk
MLX native implementations of state-of-the-art generative image models
- Category
- local and edge ai
- Stars
- 2,268
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +14 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai apple-silicon diffusers fibo flux huggingface
Something wrong? Category · Trend · Risk
A native .NET LLM inference engine for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It suppor
- Category
- local and edge ai
- Stars
- 346
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +89 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai csharp cuda cuda-programming deepseek-v4 dotnet
Something wrong? Category · Trend · Risk
Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~1500 lines of vanilla Javascript.
- Category
- local and edge ai
- Stars
- 3,793
- Readiness
- high risk (41/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 938 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gpt nanogpt transformers webgpu
Something wrong? Category · Trend · Risk
Open-Source Personal Cloud OS for Always-On Agents
- Category
- local and edge ai
- Stars
- 5,166
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +67 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic-ai ai-agents cloud-native data-privacy edge-ai homelab
Something wrong? Category · Trend · Risk
One Mac process. Many models. Real speed. Multi-model LLM serving with prefix reuse, MTP acceleration, and OpenAI APIs — built for Apple Silicon, measured against mlx-lm and llama.cpp.
- Category
- local and edge ai
- Stars
- 21
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon embeddings gemma homebrew llm local-ai
Something wrong? Category · Trend · Risk
Distribute and run LLMs with a single file.
- Category
- local and edge ai
- Stars
- 25,512
- Readiness
- ready (79/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +36 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cross-platform gguf llama-cpp local-ai local-inference local-llm
Something wrong? Category · Trend · Risk
Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network.
- Category
- local and edge ai
- Stars
- 4,940
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +165 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android clinical-nlp healthcare hipaa ios javascript
Something wrong? Category · Trend · Risk
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replace
- Category
- local and edge ai
- Stars
- 3,418
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +31 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon claude-code cursor deepseek fastapi hacktoberfest
Something wrong? Category · Trend · Risk
Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server, 65 tok/s Qwen 3.5 122B, Llama 3.3 70B, Gemma 4 31B. Private, offline, airgap-ready. Built for NDA / lega
- Category
- local and edge ai
- Stars
- 3,163
- Readiness
- ready (97/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +152 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
abliterated ai-privacy airgap ambient-computing anthropic apple-silicon
Something wrong? Category · Trend · Risk
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
- Category
- local and edge ai
- Stars
- 2,499
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +31 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai awesome awesome-list llm local local-ai
Something wrong? Category · Trend · Risk
On-device, real-time multimodal AI with features similar to GPT-Live
- Category
- local and edge ai
- Stars
- 1,963
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +48 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon gemma kokoro litert-lm local-llm mlx
Something wrong? Category · Trend · Risk
Local First Ai Agent. Optimized for Local Ai models. Long context window. Proper tools callings. Runs privately on your device.
- Category
- local and edge ai
- Stars
- 1,637
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +547 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agents ai-agent browser-automation cli gguf hermes-agent
Something wrong? Category · Trend · Risk
🌌 Give a soul to your favorite characters. Soul of Waifu is a desktop roleplay & AI companion app featuring Live2D/VRM avatars, voice chat & local LLM. Evolve together across immersive chat, RPG adven
- Category
- local and edge ai
- Stars
- 1,127
- Readiness
- ready (79/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +140 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-companion ai-girlfriend ai-roleplay ai-rpg-engine ai-vtuber
Something wrong? Category · Trend · Risk
Plug-and-play local AI studio: uncensored chat, image & video generation, coding agent. Runs abliterated LLMs + ComfyUI 100% offline. One installer, no Docker, no cloud.
- Category
- local and edge ai
- Stars
- 1,024
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +39 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
abliterated agent-mode ai ai-chat comfyui desktop-app
Something wrong? Category · Trend · Risk
Ouroboros — self-creating AI agent. Born Feb 16, 2026.
- Category
- local and edge ai
- Stars
- 1,000
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +260 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent autonomous-agent background-consciousness coding-agent computer-use desktop-agent
Something wrong? Category · Trend · Risk
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-
- Category
- local and edge ai
- Stars
- 862
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-skills agentic-ai cli-tool domain-adaptation enterprise enterprise-solutions
Something wrong? Category · Trend · Risk
Android 17 local LLM prototype with Jetpack Compose and ONNX Runtime for offline AI inference experiments.
- Category
- local and edge ai
- Stars
- 845
- Readiness
- ready (100/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android android-17 edge-ai jetpack-compose kotlin local-llm
Something wrong? Category · Trend · Risk
Sudoless Apple Silicon system monitor (native SwiftUI GUI) with ANE / Media Engine / memory-bandwidth tracking
- Category
- local and edge ai
- Stars
- 817
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +11 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon gpu llama-cpp llm lm-studio local-llm
Something wrong? Category · Trend · Risk
The most advanced, fully offline client-side AI suite on Android today.
- Category
- local and edge ai
- Stars
- 734
- Readiness
- ready (75/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +21 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android android-ai-app artificial-intelligence box gguf linux
Something wrong? Category · Trend · Risk
Run full Kimi K3 on a single device. And an OpenAI-compatible API server for local chat and coding agents.
- Category
- local and edge ai
- Stars
- 719
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +181 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
kimi kimi-k3 local-ai local-llm
Something wrong? Category · Trend · Risk
Open-source local-first AI agent for desktop work. No account, no telemetry: use local models with Ollama/Rapid-MLX or bring your own provider key.
- Category
- local and edge ai
- Stars
- 701
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agentic-ai ai-agent ai-coding-assistant byok claude-code-alternative
Something wrong? Category · Trend · Risk
Run Kimi K3 locally on CPU with ~55GB measured runtime RAM. A single-file Linux inference server powered by cPilot Runtime.
- Category
- local and edge ai
- Stars
- 669
- Readiness
- ready (74/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cpu-inference edge-ai inference-engine kimi-k3 local-llm low-memory
Something wrong? Category · Trend · Risk
Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Includes MLX Core macOS app with chat, agent mode, and tool calling.
- Category
- local and edge ai
- Stars
- 530
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +136 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent anthropic-api apple-silicon claude-code deepseek-v4 diffusion
Something wrong? Category · Trend · Risk
AI-powered IDE for novel writing — local LLM + RAG, privacy-first, BYOK. For web fiction authors and creative writers.
- Category
- local and edge ai
- Stars
- 508
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +15 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-tool ai-writing creative-writing desktop-app electron local-llm
Something wrong? Category · Trend · Risk
Community model zoo for Apple Core AI (iOS/macOS 27): 57 models — LLM, VLM, OCR, ASR, TTS, image/video/music gen, forecasting — each gated against its source model and shipped with the recipe that pro
- Category
- local and edge ai
- Stars
- 380
- Readiness
- ready (80/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai apple-silicon coreai coreml gemma4 granite
Something wrong? Category · Trend · Risk
AI pair programming in your terminal — one static binary, sub-ms startup, any model
- Category
- local and edge ai
- Stars
- 369
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
acp agentic-coding ai-agent airgap anthropic claude
Something wrong? Category · Trend · Risk
An easy-to-use, fast toolkit to scale up RL post-training on a single node.
- Category
- local and edge ai
- Stars
- 272
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +13 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agentic-ai grpo llm local-ai local-llm
Something wrong? Category · Trend · Risk
llama.cpp/ik_llama.cpp launcher: loads big MoE models across mismatched multi-GPU rigs by exact VRAM math.
- Category
- local and edge ai
- Stars
- 262
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cuda gguf golang inference-server llama-cpp llamacpp
Something wrong? Category · Trend · Risk
AMD Strix Halo / Ryzen AI Halo local LLM setup and benchmark guide for Ryzen AI MAX+ 395 and Radeon 8060S: Ollama, llama.cpp Vulkan/RADV, ROCm, 101 t/s Qwen3-Coder, CHADROCK MTP, 120B GGUF, and raw ev
- Category
- local and edge ai
- Stars
- 261
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
amd beelink benchmark framework-desktop gfx1151 gguf
Something wrong? Category · Trend · Risk
AI-native IDE with agentic workflows, iPhone emulation on Windows/Linux, PyTorch ML Studio, and ROCm-optimized local AI. Built for security researchers and cross-platform developers.
- Category
- local and edge ai
- Stars
- 244
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic-ai amd artificial-intelligence bug-bounty cross-platform cybersecurity
Something wrong? Category · Trend · Risk
More than just Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing. Your notes stay yours.
- Category
- local and edge ai
- Stars
- 228
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +14 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
git-based-wiki karpathy knowledge-base llm-knowledge-base llm-pipeline llm-tools
Something wrong? Category · Trend · Risk
Run any local LLM engine, auto-tuned to your GPU — polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first.
- Category
- local and edge ai
- Stars
- 220
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +29 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai anthropic-api claude-code gguf gpu inference
Something wrong? Category · Trend · Risk
A minimal, local-first coding agent for the terminal.
- Category
- local and edge ai
- Stars
- 207
- Readiness
- needs review (71/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent coding-agent local-llm
Something wrong? Category · Trend · Risk
Self-hostable multimodal chat with local LLMs (Ollama/OpenAI): PDF RAG, image chat, and Whisper voice, Streamlit + Docker.
- Category
- local and edge ai
- Stars
- 205
- Readiness
- ready (74/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chromadb docker langchain llm local-llm multimodal
Something wrong? Category · Trend · Risk
Private on-device AI chat for Android — runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Accel
- Category
- local and edge ai
- Stars
- 200
- Readiness
- needs review (66/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android android-ai android-ai-app android-llm artificial-intelligence edge-ai
Something wrong? Category · Trend · Risk
Open-source AI meeting notes for Mac. Records mic + system audio with no bot, transcribes on-device or via OpenAI / Deepgram / Groq, identifies speakers offline, and writes summaries that fuse your no
- Category
- local and edge ai
- Stars
- 195
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +20 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai apple-silicon granola-alternative local-first local-llm macos
Something wrong? Category · Trend · Risk
Orchestrate a swarm of Claude Code agents with a local brain that learns from you.
- Category
- local and edge ai
- Stars
- 195
- Readiness
- needs review (69/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-orchestration claude claude-code cli coding-agent hive-mind
Something wrong? Category · Trend · Risk
SSD-streaming inference engine for giant MoE models (Rust + CUDA). GLM 5.2 743B at 2 tok/s and Hy3 295B at 7 tok/s on two consumer 16GB GPUs. Zero-config multi-GPU: measures PCIe bandwidth, places att
- Category
- local and edge ai
- Stars
- 193
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cuda gguf glm inference-engine llm local-llm
Something wrong? Category · Trend · Risk
A living AI-agent office on your desktop wallpaper — Claude Code agents that walk, work, delegate, learn & hold meetings. Per-agent swappable models (Claude/GLM/DeepSeek/Qwen/Kimi/OpenAI/Gemini/Groq/O
- Category
- local and edge ai
- Stars
- 186
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-orchestration ai ai-agents anthropic automation autonomous-agents
Something wrong? Category · Trend · Risk
macOS menu bar app for ds4: fast DeepSeek V4 Pro/Flash, with 1M context.
- Category
- local and edge ai
- Stars
- 172
- Readiness
- ready (95/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deepseek deepseek-v4 deepseek-v4-flash deepseek-v4-pro ds4 dwarfstar
Something wrong? Category · Trend · Risk
LLM-powered dating simulator
- Category
- local and edge ai
- Stars
- 165
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai dating-simulator game llm llms local-ai
Something wrong? Category · Trend · Risk
No description
- Category
- local and edge ai
- Stars
- 152
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cuda llm local-llm mlx
Something wrong? Category · Trend · Risk
WarMatrix 2026: Next-Gen Tactical Simulation & AI Command Console
- Category
- local and edge ai
- Stars
- 150
- Readiness
- ready (75/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-simulation command-and-control defence-technology fastapi glassmorphism local-llm
Something wrong? Category · Trend · Risk
Project Jarvis is a versatile AI assistant that integrates various functionalities.
- Category
- local and edge ai
- Stars
- 143
- Readiness
- ready (95/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agents assistant g4f gui jarvis
Something wrong? Category · Trend · Risk
Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
- Category
- local and edge ai
- Stars
- 136
- Readiness
- needs review (69/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gemma generative-ai llama llm local-llm localllm
Something wrong? Category · Trend · Risk
ComfyUI custom nodes for RTX Video Super Resolution, NVIDIA VFX/nvvfx, LTX 2.3, Bernini Prompt Guide, Wan2.2 reference video edit, image/video compare, video preview, loaders, resize, and visual workf
- Category
- local and edge ai
- Stars
- 131
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
bernini bernini-prompt-guide comfyui comfyui-custom-nodes custom-nodes ideogram
Something wrong? Category · Trend · Risk
Synthetic Autonomic Mind - An AI assistant for everyone.
- Category
- local and edge ai
- Stars
- 131
- Readiness
- ready (77/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-assistant ai-assistants ai-tools apple apple-silicon artificial-intelligence
Something wrong? Category · Trend · Risk
Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory
- Category
- local and edge ai
- Stars
- 126
- Readiness
- ready (73/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-agents anthropic chatgpt claude-code clawdbot
Something wrong? Category · Trend · Risk
デジタル庁のガバメントAI「源内(GENAI)」を完全ローカル(ローカルLLM/OpenAI互換)で動かす非公式プロジェクト。SAML認証(Keycloak)・RAG(Qdrant)・文字起こし(Whisper)・画像生成(SD)・チーム単位ナレッジをローカル完結。
- Category
- local and edge ai
- Stars
- 125
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
digital-agency fastapi genai japan keycloak local-llm
Something wrong? Category · Trend · Risk
The ultimate zero-install, portable local AI environment. Run high-quality, uncensored LLMs (Gemma, Qwen, NemoMix) directly from any USB drive or SSD. Fully air-gapped, cross-platform (Win/Mac/Linux),
- Category
- local and edge ai
- Stars
- 1,959
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 70/100 · low confidence
Why: +18 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest. Risks: repository is archived. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
local-llm portable-ai uncensored-ai
Something wrong? Category · Trend · Risk
Run AI ✨ assistant locally! with simple API for Node.js 🚀
- Category
- local and edge ai
- Stars
- 498
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 22/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 264 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-assistant catai chatbot chatgpt chatui
Something wrong? Category · Trend · Risk
A simple "Be My Eyes" web app with a llama.cpp/llava backend
- Category
- local and edge ai
- Stars
- 496
- Readiness
- high risk (40/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 983 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai artificial-intelligence computer-vision llama llamacpp llm
Something wrong? Category · Trend · Risk
Local-first AI-powered document intelligence platform for investigative journalism
- Category
- local and edge ai
- Stars
- 482
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +31 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 194 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
air-gapped data-visualization digital-forensics docker document-intelligence edge-ai
Something wrong? Category · Trend · Risk
A local, privacy-first résumé builder using LLMs and Markdown to generate ATS-ready DOCX files with Pandoc — no cloud, no tracking.
- Category
- local and edge ai
- Stars
- 391
- Readiness
- needs review (58/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-resume-builder local-llm resume-builder
Something wrong? Category · Trend · Risk
Run local LLMs like Gemma, Qwen, and LLaMA on Android for offline, private, real-time chat and question answering with LiteRT and ONNX Runtime.
- Category
- local and edge ai
- Stars
- 376
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 15/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 93 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android android-app chatbot gemma4 gemma4-2b gemma4-e4b
Something wrong? Category · Trend · Risk
React Native Apple LLM plugin using Foundation Models
- Category
- local and edge ai
- Stars
- 341
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 202 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-foundation-models apple-intelligence apple-llm apple-llm-integration foundation-models local-llm
Something wrong? Category · Trend · Risk
Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐
- Category
- local and edge ai
- Stars
- 304
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 704 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chrome-extension langchain llama2 llms local-llm mistral-7b
Something wrong? Category · Trend · Risk
A simple, intuitive toolkit for quickly implementing LLM powered applications.
- Category
- local and edge ai
- Stars
- 275
- Readiness
- needs review (56/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 579 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
function-calling llama3 llm local-llm ollama pdf-llm
Something wrong? Category · Trend · Risk
Code with AI in VSCode, bring your own ai.
- Category
- local and edge ai
- Stars
- 268
- Readiness
- needs review (57/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 23/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 141 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai gpt-4o gpt-o1 hacktoberfest local-llm openrouter
Something wrong? Category · Trend · Risk
TypeScript library for Local LLM in Chromium browsers
- Category
- local and edge ai
- Stars
- 265
- Readiness
- needs review (59/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
browser-extension chrome chrome-extension chromium gemini-nano-in-chrome local-llm
Something wrong? Category · Trend · Risk
LLM story writer with a focus on high-quality long output based on a user provided prompt.
- Category
- local and edge ai
- Stars
- 258
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 256 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai command-line-tool llm llms local-llama local-llm
Something wrong? Category · Trend · Risk
Your fully proficient, AI-powered and local chatbot assistant🤖
- Category
- local and edge ai
- Stars
- 250
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: repository is archived, no push in 780 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-studio chatgpt cheshire-cat docker-image free-to-use
Something wrong? Category · Trend · Risk
Find the best models and how to run them locally.
- Category
- local and edge ai
- Stars
- 245
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 16/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 95 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon llamacpp llm local-llm mlx
Something wrong? Category · Trend · Risk
Open Dungeon — the first easy-to-use, fully local AI roleplay app. Story and inline scene images generated 100% on your machine (Gemma 4 QAT via Ollama(and others) + FLUX). No accounts, no API keys, n
- Category
- local and edge ai
- Stars
- 213
- Readiness
- needs review (71/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gemma image-generation interactive-fiction local-llm nextjs ollama
Something wrong? Category · Trend · Risk
Open Source Local Data Analysis Assistant.
- Category
- local and edge ai
- Stars
- 202
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, documentation, license. Risks: no push in 291 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
data-analysis data-analysis-agent data-science local-ai-agents local-llm open-source
Something wrong? Category · Trend · Risk
High-Performance server for NATS.io, the cloud and edge native messaging system.
- Category
- local and edge ai
- Stars
- 20,407
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +36 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cloud cloud-computing cloud-native connected-vehicle distributed-systems edge
Something wrong? Category · Trend · Risk
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
- Category
- local and edge ai
- Stars
- 10,589
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
computer-vision coreml deep-learning edge-ai inference model-export
Something wrong? Category · Trend · Risk
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
- Category
- local and edge ai
- Stars
- 6,126
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +64 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
edge-ai on-device-ai on-device-llm
Something wrong? Category · Trend · Risk
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. R
- Category
- local and edge ai
- Stars
- 2,882
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +31 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android edge-ai gguf ios llama-cpp local-ai
Something wrong? Category · Trend · Risk
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildli
- Category
- local and edge ai
- Stars
- 1,065
- Readiness
- ready (97/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-for-good animal-detection bioacoustics biodiversity camera-traps computer-vision
Something wrong? Category · Trend · Risk
DefraDB is a Peer-to-Peer Edge-First Database. It's the core data storage system for the Source Ecosystem.
- Category
- local and edge ai
- Stars
- 887
- Readiness
- needs review (66/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
crdt database distributed documentdb edge-ai edge-compute
Something wrong? Category · Trend · Risk
Easily create AI projects with Python on edge device
- Category
- local and edge ai
- Stars
- 833
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-vision edge-ai embedded maixcam maixcam-pro
Something wrong? Category · Trend · Risk
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
- Category
- local and edge ai
- Stars
- 517
- Readiness
- ready (78/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
awesome-list edge-ai edge-computing edge-intelligence emulation fog-computing
Something wrong? Category · Trend · Risk
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers adva
- Category
- local and edge ai
- Stars
- 449
- Readiness
- ready (74/100 heuristic points; not a probability)
- Data confidence
- high
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · high confidence
Why: +1 stars in 7 days; 34 lifetime contributors
Why it may be a gem: healthy maintenance and project fundamentals; open issue backlog is stable or shrinking
Strongest signals: push recency, contributor breadth, issue load. Risks: None identified. Missing inputs: None.
deep-learning deep-neural-networks edge-ai machine-learning network-compression network-quantization
Something wrong? Category · Trend · Risk
Production-grade C++ edge AI engine for video analytics with visual pipeline orchestration, on-device VLM, and real-time OSD.
- Category
- local and edge ai
- Stars
- 424
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- high
- Maintainer health
- healthy
- Maintenance risk
- 8/100 · high confidence
Why: +84 stars in 7 days; 100+ commits in 30 days
Why it may be a gem: healthy maintenance and project fundamentals; consistent human and community activity
Strongest signals: push recency, commit activity, issue load. Risks: no pull-request review responses in 30 days. Missing inputs: None.
Capped lower bounds: 30-day commits.
bm1688 computer-vision cpp17 edge-ai grounding-dino on-device-ai
Something wrong? Category · Trend · Risk
LiteRT and LiteRT-LM sample apps, model recipes, agent skills and utilities.
- Category
- local and edge ai
- Stars
- 391
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
edge-ai generative-ai on-device-ai
Something wrong? Category · Trend · Risk
Build apps powered by on-device AI
- Category
- local and edge ai
- Stars
- 330
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +14 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-games edge-ai ios kotlin llamacpp llm
Something wrong? Category · Trend · Risk
FasterAI: Prune and Distill your models with FastAI and PyTorch
- Category
- local and edge ai
- Stars
- 265
- Readiness
- ready (75/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deep-learning distillation edge-ai fastai model-compression neural-network
Something wrong? Category · Trend · Risk
Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.
- Category
- local and edge ai
- Stars
- 248
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-accelerators ai-agents ai-hardware autonomous-vehicles computer-architecture computer-vision
Something wrong? Category · Trend · Risk
Run MoE models bigger than your RAM. A 284B on a 12 GB phone, CPU only, lossless, on stock llama.cpp
- Category
- local and edge ai
- Stars
- 239
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +124 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android cpp edge-ai gemma gguf gpt-oss
Something wrong? Category · Trend · Risk
Open-source standalone AI glasses platform built on embedded Linux, with system-level customization, C/C++ SDK, RTSP video streaming, BLE, audio, camera, and optional display support.
- Category
- local and edge ai
- Stars
- 229
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +8 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-glasses bluetooth computer-vision cpp-sdk edge-ai embedded-linux
Something wrong? Category · Trend · Risk
GuardianDB: High-performance, local-first decentralized database that stores and processes data, built on Rust and Iroh
- Category
- local and edge ai
- Stars
- 205
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
blobs crdt database decentralization distributed edge
Something wrong? Category · Trend · Risk
D-FINE-seg Object Detection and Segmentation Framework (Train, Export, Inference)
- Category
- local and edge ai
- Stars
- 192
- Readiness
- ready (95/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deep-learning detr edge-ai instance-segmentation object-detection pytorch
Something wrong? Category · Trend · Risk
Model-agnostic state layer for world models — turn any detector (YOLO · VLM · DINO) into one standard, queryable stream of events + latent state. numpy-only, runs on CPU at the edge.
- Category
- local and edge ai
- Stars
- 186
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
computer-vision edge-ai event-stream object-detection object-tracking perception
Something wrong? Category · Trend · Risk
NVIDIA DeepStream Monorepo: DeepStream SDK and reference apps for building GPU‑accelerated, real-time video and multi‑sensor analytics pipelines with GStreamer, TensorRT, and vision AI models across e
- Category
- local and edge ai
- Stars
- 183
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +14 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
computer-vision cuda deepstream-sdk edge-ai embedded-systems gpu-accelerated
Something wrong? Category · Trend · Risk
True on-device AI for Kotlin Multiplatform (Android, iOS, Desktop, JVM, WASM). LLM, Speech-to-Text and Image Generation — powered by llama.cpp, whisper.cpp and stable-diffusion.cpp.
- Category
- local and edge ai
- Stars
- 171
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai android desktop edge-ai ggml inference
Something wrong? Category · Trend · Risk
Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning
- Category
- local and edge ai
- Stars
- 169
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
edge-ai edge-ml federated-learning federated-machine-learning fedml fleet-learning
Something wrong? Category · Trend · Risk
Distribute and run transformer encoders with a single file.
- Category
- local and edge ai
- Stars
- 127
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
edge-ai embeddings encoder grpc local-ai nlp
Something wrong? Category · Trend · Risk
Clean up noisy speech in real time with DPDFNet - open-source streaming speech enhancement for research, audio apps, and edge devices. Includes pretrained models, PyTorch code, ONNX/TFLite inference,
- Category
- local and edge ai
- Stars
- 125
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
audio audio-denoising audio-processing deep-learning deepfilternet deepfilternet2
Something wrong? Category · Trend · Risk
Read chapters directly from this repo - do not use GitHub Pages link.
- Category
- local and edge ai
- Stars
- 116
- Readiness
- ready (74/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
computer-architecture edge-ai embedded-ai instruction-set-architecture matrix-acceleration open-hardware
Something wrong? Category · Trend · Risk
On-device AI recipes for building private, real-time applications with production-grade voice, language, and vision SDKs. Ready-to-use, open-source code examples.
- Category
- local and edge ai
- Stars
- 114
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android edge-ai edge-ai-agents ios language-model language-models
Something wrong? Category · Trend · Risk
CPU-first LLM inference server on llama.cpp. Runs useful models on free-tier ARM boxes; rewriting the input made it ~6x faster and more accurate than tuning the engine. MIT, benchmarks and failures in
- Category
- local and edge ai
- Stars
- 106
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
arm cpu edge-ai gguf inference kv-cache
Something wrong? Category · Trend · Risk
The 30 MB open-source edge AI agent runtime. Run AI agents offline on Linux (Raspberry Pi, Jetson). GPIO, UART, MQTT as first-class nodes. Industrial protocols (OPC-UA, Modbus) on the roadmap.
- Category
- local and edge ai
- Stars
- 95
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-runtime ai-agents edge-agents edge-ai edge-computing edge-devices
Something wrong? Category · Trend · Risk
STM32N6 Face Recognition system using AI models deployed on STM32N6570-DK with real-time face detection and recognition capabilities. Complete embedded development environment with automated mode
- Category
- local and edge ai
- Stars
- 78
- Readiness
- ready (79/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
edge-ai face-recognition stm32 stm32n6
Something wrong? Category · Trend · Risk
FastCrest Tether: the OSS edge-to-cloud AI deploy CLI. Optimize, verify, deploy across Jetson, RTX, Apple Silicon, AMD. Hybrid edge-cloud inference with parity certs.
- Category
- local and edge ai
- Stars
- 77
- Readiness
- needs review (56/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility
Strongest signals: fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cli deployment edge-ai edge-cloud fastcrest groot
Something wrong? Category · Trend · Risk
Local-first AI memory — runs offline on any machine with 8 GB+ RAM (SBC, mini PC, laptop, workstation). Zero-loss verbatim archive, knowledge graph, hybrid retrieval. Framework-agnostic, no cloud.
- Category
- local and edge ai
- Stars
- 72
- Readiness
- needs review (70/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-memory arm edge-ai embedding framework-agnostic knowledge-graph
Something wrong? Category · Trend · Risk
A cloud-native operations Controller for managing edge computing workloads, edgelet nodes, and deployments across Eclipse IoFog.
- Category
- local and edge ai
- Stars
- 67
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
containers edge-ai edgelet edgeops iofog nats
Something wrong? Category · Trend · Risk
Android native AI inference library, bringing text, image, video, STT, TTS inference
- Category
- local and edge ai
- Stars
- 63
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai android edge-ai gguf huggingface image-generation
Something wrong? Category · Trend · Risk
Computer vision, object tracking, and target following for PX4 drones using OpenCV, YOLO, MAVSDK, MAVLink, and a real-time web dashboard
- Category
- local and edge ai
- Stars
- 60
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
autonomous-drones autonomous-systems companion-computer computer-vision drone edge-ai
Something wrong? Category · Trend · Risk
Run a real LLM, sentence embeddings and on-device learning in pure C - one header, zero dependencies. TinyLlama-1.1B on a 2017 laptop CPU; the same code as a 65 KB WebAssembly module in your browser.
- Category
- local and edge ai
- Stars
- 54
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ansi-c artificial-intelligence c c99 edge-ai embedded-systems
Something wrong? Category · Trend · Risk
SPARROW — Solar-Powered Acoustic and Remote Recording Observation Watch. An AI-enabled edge device for biodiversity monitoring with camera-trap imaging and bioacoustic recording. By Microsoft AI for G
- Category
- local and edge ai
- Stars
- 53
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-for-good audiomoth bioacoustics biodiversity camera-traps conservation
Something wrong? Category · Trend · Risk
Offline keyword spotting & wake word engine. ONNX format, model <130KB, inference <10ms. Runs on Android, ESP32, Linux, Web. No cloud, no data usage.
- Category
- local and edge ai
- Stars
- 51
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android edge-ai esp32 keyword-spotting kws offline
Something wrong? Category · Trend · Risk
KnoLo Core is a local-first knowledge base engine built for small language models (LLMs). It packages your documents into a compact .knolo file and enables fully deterministic querying — no embeddings
- Category
- local and edge ai
- Stars
- 41
- Readiness
- ready (97/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deterministic-search document-retrieval edge-ai edge-computing knolo knowledge-base
Something wrong? Category · Trend · Risk
RPI (Resonant Permutation Inference) — Zero-multiply text generation. 18K tok/s. 868 KB models. Standalone or as speculative draft engine for LLMs. Runs on N64, POWER8, x86, ARM.
- Category
- local and edge ai
- Stars
- 39
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
edge-ai llm llm-inference mips nintendo-64 power8
Something wrong? Category · Trend · Risk
Unified agent memory and context compression stack for 2026 NVIDIA + edge (Vera CPU, Grace, Jetson Thor, 3090). Glues busyBee-cpu, honey-comb, and rust-brain. Better effective reasoning per token.
- Category
- local and edge ai
- Stars
- 35
- Readiness
- needs review (65/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent busybee context-compression cpu-offload edge-ai grace
Something wrong? Category · Trend · Risk
Lightweight AI agent runtime for homelabs, built around deterministic skills and local LLMs.
- Category
- local and edge ai
- Stars
- 35
- Readiness
- ready (78/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent edge-ai go golang homelab llm
Something wrong? Category · Trend · Risk
Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.
- Category
- local and edge ai
- Stars
- 31
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cli computer-vision deep-learning depth-estimation edge-ai image-classification
Something wrong? Category · Trend · Risk
Distributed, peer-to-peer, decentralized network for LLM inference — peers seed & leech completions, metered by BitTorrent-protocol-style upload/download ratios. OpenAI-compatible · Rust · libp2p.
- Category
- local and edge ai
- Stars
- 28
- Readiness
- ready (73/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-infrastructure bittorrent decentralized decentralized-ai distributed
Something wrong? Category · Trend · Risk
🦞 ClawBox — Your private AI assistant on NVIDIA Jetson. Setup wizard, dashboard, and 580+ skills. Plug in, scan QR, done.
- Category
- local and edge ai
- Stars
- 24
- Readiness
- needs review (70/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility
Strongest signals: push recency, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-assistant ai-hardware automation edge-ai llm
Something wrong? Category · Trend · Risk
A cognition kernel that wraps a frozen LLM in a persistent identity + trust + governance loop — testing whether capability comes from structure, not weights. Research-stage; honest about what's real v
- Category
- local and edge ai
- Stars
- 23
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic agents ai ai-governance autonomous cognitive-architecture
Something wrong? Category · Trend · Risk
Spinifex – Open source AWS-compatible platform for secure edge deployments. Run EC2, VPC, S3, and EBS-like services on bare metal with full control. Built for environments where running in the cloud i
- Category
- local and edge ai
- Stars
- 23
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
aws aws-compatible bare-metal baremetal cloud-infrastructure ebs
Something wrong? Category · Trend · Risk
Ultralytics YOLOv8 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.
- Category
- local and edge ai
- Stars
- 23
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cli computer-vision deep-learning edge-ai image-classification instance-segmentation
Something wrong? Category · Trend · Risk
Mobilint Model Zoo Project
- Category
- local and edge ai
- Stars
- 23
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-accelerators computer-vision edge-ai mobilint quantization quantized-neural-networks
Something wrong? Category · Trend · Risk
Open-source bring-up + verified matmul on the first-gen AMD XDNA1 (Phoenix/Hawk Point) NPU on Linux — the gen FastFlowLM/Lemonade skip. RyzenAI-npu1, mlir-aie/IRON, XRT.
- Category
- local and edge ai
- Stars
- 21
- Readiness
- ready (80/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
aie2 amd amd-xdna edge-ai fastflowlm-alternative hawk-point
Something wrong? Category · Trend · Risk
Code for training and deployment of a tiny acoustic model for the STM32N6
- Category
- local and edge ai
- Stars
- 20
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
audio bioacoustics birdnet birds classification edge-ai
Something wrong? Category · Trend · Risk
rvCSI — edge RF sensing runtime: normalize WiFi CSI from Nexmon/ESP32/Intel/Atheros/file/replay into one validated CsiFrame schema, run reusable DSP, emit typed confidence-scored events, bridge to RuV
- Category
- local and edge ai
- Stars
- 19
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
channel-state-information csi edge-ai esp32 nexmon presence-detection
Something wrong? Category · Trend · Risk
GPS-denied autonomous UAV swarm platform with edge AI, distributed swarm intelligence, VIO/EKF fusion, UWB/TDOA localization, secure telemetry, CBOR-based edge communication, and post-quantum security
- Category
- local and edge ai
- Stars
- 19
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
autonomous-systems cpp cyber-security distributed-systems drone-swarm edge-ai
Something wrong? Category · Trend · Risk
Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL).
- Category
- local and edge ai
- Stars
- 18
- Readiness
- ready (72/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agents cognitive-architecture edge-ai local-ai memory-management onnx
Something wrong? Category · Trend · Risk
Desktop app to export Ultralytics YOLO & Roboflow RF-DETR models to ONNX, TensorRT, CoreML, TFLite & more — runs 100% locally.
- Category
- local and edge ai
- Stars
- 18
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
coreml edge-ai object-detection onnx openvino rf-detr
Something wrong? Category · Trend · Risk
Local AI load balancer for Ollama and MLX fleets. Auto-discovery, smart routing, OpenAI-compatible API, zero config. Perfect for Mac Minis & Studios.
- Category
- local and edge ai
- Stars
- 17
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-gateway ai-infrastructure ai-router apple-silicon edge-ai embeddings
Something wrong? Category · Trend · Risk
Ultralytics YOLO11 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.
- Category
- local and edge ai
- Stars
- 16
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cli computer-vision deep-learning edge-ai image-classification instance-segmentation
Something wrong? Category · Trend · Risk
An open-source, offline-capable agentic IoT runtime with physical actuation trust. Ori gives physical devices the brain to reason about sensor data via tiered LLM reasoning + graduated authority model
- Category
- local and edge ai
- Stars
- 16
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-of-things agentic-iot ai-agents aiot edge-ai home-automation
Something wrong? Category · Trend · Risk
Python SDK for WildEdge
- Category
- local and edge ai
- Stars
- 15
- Readiness
- needs review (65/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility
Strongest signals: push recency, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-engineering dataset-generation edge-ai edge-ai-agents inference
Something wrong? Category · Trend · Risk
An open research program exploring the mathematics of artificial thought: information geometry, topology, dynamical systems, and thermodynamics applied to AI inference.
- Category
- local and edge ai
- Stars
- 15
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
artificial-intelligence deterministic-ai edge-ai embedded-systems machine-learning open-research
Something wrong? Category · Trend · Risk
Cuvis.AI is an open-source, extensible framework for building modular AI pipelines that process, analyze, and deploy hyperspectral video data in real-time applications.
- Category
- local and edge ai
- Stars
- 15
- Readiness
- ready (78/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai computer-vision data-pipelines edge-ai hyperspectral-imaging machine-
Something wrong? Category · Trend · Risk
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
- Category
- local and edge ai
- Stars
- 1,954
- Readiness
- needs review (58/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 967 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
acceleration automl edge-ai efficient-model nas tinyml
Something wrong? Category · Trend · Risk
MicroPython for K210 RISC-V, let's play with edge AI easier
- Category
- local and edge ai
- Stars
- 1,714
- Readiness
- needs review (52/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 781 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
aiot edge-ai firmware k210 maixpy micropython
Something wrong? Category · Trend · Risk
Deep learning gateway on Raspberry Pi and other edge devices
- Category
- local and edge ai
- Stars
- 1,611
- Readiness
- needs review (48/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 1268 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
aiot deep-learning edge-ai edge-computing edge-devices iot
Something wrong? Category · Trend · Risk
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
- Category
- local and edge ai
- Stars
- 688
- Readiness
- needs review (70/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-accelerators computer-vision deep-learning edge-ai hailo hailo8
Something wrong? Category · Trend · Risk
Real-time portrait segmentation for mobile devices
- Category
- local and edge ai
- Stars
- 666
- Readiness
- needs review (59/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 2028 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android color-harmonization coral-tpu deeplab deeplearning deepstream
Something wrong? Category · Trend · Risk
AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution acce
- Category
- local and edge ai
- Stars
- 596
- Readiness
- needs review (62/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 25/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 603 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai azd azd-templates azure chat-bot chatbot
Something wrong? Category · Trend · Risk
On-Device Training Under 256KB Memory [NeurIPS'22]
- Category
- local and edge ai
- Stars
- 524
- Readiness
- needs review (51/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, license. Risks: no push in 861 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
edge-ai learning-on-the-edge on-device-training
Something wrong? Category · Trend · Risk
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
- Category
- local and edge ai
- Stars
- 381
- Readiness
- high risk (36/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 339 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
coral coral-tpu edge-ai edge-tpu edgetpu home-assistant
Something wrong? Category · Trend · Risk
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
- Category
- local and edge ai
- Stars
- 364
- Readiness
- high risk (0/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 100/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: repository is archived, no push in 738 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deep-learning deep-neural-networks edge-ai edge-computing efficient-model inference
Something wrong? Category · Trend · Risk
💜 The best free Telegram bot for ChatGPT, Microsoft Copilot (aka Bing AI / Sidney / EdgeGPT), Microsoft Copilot Designer (aka BingImageCreator), Gemini and Groq with stream writing, requests with imag
- Category
- local and edge ai
- Stars
- 352
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 813 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai bing bing-image-creator bot chatgpt dalle
Something wrong? Category · Trend · Risk
Full face stack that runs entirely in the browser. Detection, 576-point 3D mesh, recognition, anti-spoof, smile — all WebAssembly, zero server. Apache 2.0.
- Category
- local and edge ai
- Stars
- 329
- Readiness
- needs review (56/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
avx-512 avx2 biometrics c99 computer-vision cpu-inference
Something wrong? Category · Trend · Risk
Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.
- Category
- local and edge ai
- Stars
- 251
- Readiness
- needs review (62/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 1904 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
balenaos computer-vision edge-ai jetson-nano mqtt
Something wrong? Category · Trend · Risk
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
- Category
- local and edge ai
- Stars
- 243
- Readiness
- needs review (62/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 1334 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
coral-tpu deep-learning deep-neural-networks edge-ai edge-computing edge-tpu
Something wrong? Category · Trend · Risk
On-device, Offline Spleeter Solution For Mobile
- Category
- local and edge ai
- Stars
- 227
- Readiness
- needs review (49/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 672 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android audio-processing deep-learning edge-ai ios spleeter
Something wrong? Category · Trend · Risk
An open source light-weight and high performance inference framework for Hailo devices
- Category
- local and edge ai
- Stars
- 214
- Readiness
- needs review (60/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deep-learning edge-ai hardware-acceleration machine-learning neural-networks
Something wrong? Category · Trend · Risk
Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code
- Category
- local and edge ai
- Stars
- 8,307
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +18 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gemma4 go gpt-oss granite4 hexagon llama3
Something wrong? Category · Trend · Risk
AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.
- Category
- local and edge ai
- Stars
- 4,759
- Readiness
- ready (80/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +11 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-agents llms on-device-ai
Something wrong? Category · Trend · Risk
Foundation model for tiny devices; 14mb, 26m params, 1-6k toks/sec on mobiles, wearables smart home and robots.
- Category
- local and edge ai
- Stars
- 3,386
- Readiness
- ready (84/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +59 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cactus gemini gemma llm on-device-ai
Something wrong? Category · Trend · Risk
NobodyWho is an inference engine that lets you run LLMs locally and efficiently on any device.
- Category
- local and edge ai
- Stars
- 1,044
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai flutter godot godot-engine godot-plugin godot4
Something wrong? Category · Trend · Risk
⚡ Native MLX Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models, TurboQuant KV cache compression, MACOS + iOS iPhone app.
- Category
- local and edge ai
- Stars
- 734
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-sili inference ios llm metal mlx
Something wrong? Category · Trend · Risk
Android Input Method Editor (IME) based on Whisper
- Category
- local and edge ai
- Stars
- 613
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android on-device-ai privacy-protection speech-recognition transcription translation
Something wrong? Category · Trend · Risk
On-device Neural Engine
- Category
- local and edge ai
- Stars
- 577
- Readiness
- needs review (70/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: limited evidence; inspect maintenance signals before adopting
Strongest signals: push recency, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
compiler neural-network on-device-ai optimization runtime
Something wrong? Category · Trend · Risk
PennyWise automatically reads transaction SMS messages and transforms them into organized financial data with on-device AI assistance. No manual entry, no cloud processing, complete privacy.
- Category
- local and edge ai
- Stars
- 536
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android budget-manager budget-tracker expense-tracker finance-management finance-tracker
Something wrong? Category · Trend · Risk
Instant thought capture for macOS. One shortcut, post-it appears, type, close.
- Category
- local and edge ai
- Stars
- 236
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai keyboard-first local-first mac-app macos markdown
Something wrong? Category · Trend · Risk
Cashiro is a comprehensive financial tracking manager that Turn bank SMS and PDF Statements into a clean, searchable money timeline with on-device AI assistance. 100% private, no cloud processing.
- Category
- local and edge ai
- Stars
- 156
- Readiness
- needs review (68/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android-app budget-tracker expense-tracker finance-management jetpack-compose kotlin
Something wrong? Category · Trend · Risk
Privacy-first AI meeting notes & writing assistant for Mac — on-device transcription, smart minutes, action items & 60+ writing modes, running entirely on Apple Silicon
- Category
- local and edge ai
- Stars
- 141
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon llm macos meeting-notes mlx on-device-ai
Something wrong? Category · Trend · Risk
On-device meeting transcriber for macOS — auto-records Teams/Zoom/Webex, transcribes & separates speakers locally. No cloud. Open-source alternative to Otter/Granola/Fireflies.
- Category
- local and edge ai
- Stars
- 109
- Readiness
- ready (98/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +11 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-neural-engine coreml fluidaudio local-first macos meeting-notes
Something wrong? Category · Trend · Risk
Local-first AI photo culling for professional photographers — 6-axis rubric, XMP/IPTC export, Lightroom & Capture One ready.
- Category
- local and edge ai
- Stars
- 105
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai apple-silicon capture-one clip computer-vision image-classification
Something wrong? Category · Trend · Risk
Open-source iOS app connecting Meta Ray-Ban smart glasses to AI — 5 backends (on-device MLX models, Apple Intelligence, OpenAI, Gemini Live, OpenClaw), on-device neural voice, face recognition & live
- Category
- local and edge ai
- Stars
- 102
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-assistant apple-intelligence face-recognition gemini gemma ios
Something wrong? Category · Trend · Risk
Run ml models with tflite & litert & executorch runtimes on edge devices
- Category
- local and edge ai
- Stars
- 72
- Readiness
- needs review (71/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android-app edge-computing executorch ios-app kotlin litert
Something wrong? Category · Trend · Risk
NPU powered On-device AI Mobile applications using Melange
- Category
- local and edge ai
- Stars
- 70
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-computing ai-infrastructure aiinfrastructure edge-computing edgeai
Something wrong? Category · Trend · Risk
On-device AI for Expo apps. Run AI models locally. No API keys, no cloud.
- Category
- local and edge ai
- Stars
- 68
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai expo kotlin on-device on-device-ai react-native
Something wrong? Category · Trend · Risk
Free, sub-second on-device AI dictation for macOS. Dual engines (Whisper + Parakeet) on Apple Silicon. Optional AI polish with our own on-device model (EG-1), Apple Intelligence (macOS 26), Ollama, or
- Category
- local and edge ai
- Stars
- 63
- Readiness
- needs review (65/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
accessibility apple-silicon coreml dictation macos on-device-ai
Something wrong? Category · Trend · Risk
Neutral, reproducible benchmark for local LLMs on Apple Silicon (Mac · iPhone · iPad) — MLX, llama.cpp, CoreML, Apple Foundation Models
- Category
- local and edge ai
- Stars
- 57
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon benchmark coreml ios llama-cpp llm
Something wrong? Category · Trend · Risk
High-performance on-device LLM inference for React Native, powered by LiteRT-LM and Nitro Modules
- Category
- local and edge ai
- Stars
- 51
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android expo gemma3n gemma4 ios llm
Something wrong? Category · Trend · Risk
The first intelligent AI agent running natively on a smartwatch. NullClaw + Vosk offline STT + Claude on Galaxy Watch
- Category
- local and edge ai
- Stars
- 49
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent android galaxy-watch kotlin nullclaw offline-ai
Something wrong? Category · Trend · Risk
Extremely minimal Compose Multiplatform sample that demonstrates use of on-device AI on iOS and Android.
- Category
- local and edge ai
- Stars
- 48
- Readiness
- ready (74/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai android compose-multiplatform foundation-models ios kotlin
Something wrong? Category · Trend · Risk
Production harness for Apple Foundation Models on iOS, macOS, and visionOS
- Category
- local and edge ai
- Stars
- 40
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent agents apple-intelligence foundation-models on-device-ai swift
Something wrong? Category · Trend · Risk
Pure-MLX speech synthesis, voice cloning, dialogue, sound-effects, and ASR for Apple Silicon: Fish S2 Pro, VibeVoice, LongCat, MOSS, Step-Audio, Cohere ASR.
- Category
- local and edge ai
- Stars
- 36
- Readiness
- ready (95/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-mlx apple-silicon asr mlx on-device-ai speech-recognition
Something wrong? Category · Trend · Risk
Run LLMs, VLMs, ASR, TTS, diarization and more fully on-device with Apple's Core AI framework (iOS/macOS 27) — one line of Swift per model, 53 models pinned to immutable Hugging Face revisions, each g
- Category
- local and edge ai
- Stars
- 34
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple asr coreai foundation-models ios llm
Something wrong? Category · Trend · Risk
Production local AI and offline LLM app for iPhone, iPad, Mac, and Apple Vision Pro—available on the App Store with open-source Swift code.
- Category
- local and edge ai
- Stars
- 33
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-assistant app-store coreml executorch gguf ios
Something wrong? Category · Trend · Risk
Translate & rewrite text anywhere on your Mac — formal or informal — 100% on-device with Apple Intelligence. No accounts, no API keys, no cloud. A free, open-source DeepL / Google Translate alternativ
- Category
- local and edge ai
- Stars
- 30
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-intelligence deepl-alternative foundation-models german google-translate-alternative language-learning
Something wrong? Category · Trend · Risk
Building AI tools and learning as I go: mobile computer vision, medical ML, business automation. Started with a chicken problem, ended up doing neuroscience research. Still figuring it out.
- Category
- local and edge ai
- Stars
- 28
- Readiness
- ready (81/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai coreml iphone language-translation lidar metal
Something wrong? Category · Trend · Risk
Swift 6 agent SDK: type-safe tools, streaming, cloud + on-device inference via MLX on Apple Silicon
- Category
- local and edge ai
- Stars
- 28
- Readiness
- ready (94/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent-sdk ai-agents anthropic apple-silicon function-calling generative-ai
Something wrong? Category · Trend · Risk
Local browser agent: MLX + Chrome DevTools Protocol. Handles cross-origin iframes, Shadow DOM, ProseMirror. Runs on Apple Silicon, no cloud.
- Category
- local and edge ai
- Stars
- 25
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent apple-silicon autonomous-agent browser-automation cdp chrome-devtools-protocol
Something wrong? Category · Trend · Risk
Free, open-source AI coding agent & multi-agent teams for macOS — runs 100% on-device via Ollama or LM Studio. No cloud, no API keys, no subscription, zero telemetry — your code and your ideas never l
- Category
- local and edge ai
- Stars
- 24
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic-ai agentic-workflow ai ai-agents coding-agent coding-assistant
Something wrong? Category · Trend · Risk
Fast WebGPU runtime for 1-bit (binary-weight) LLMs in the browser. Bit-exact, zero runtime dependencies.
- Category
- local and edge ai
- Stars
- 22
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
1-bit browser inference llm on-device-ai quantization
Something wrong? Category · Trend · Risk
Apple-native iOS/macOS app for document intelligence, OCR, cited answers, and source-backed retrieval over PDFs, scans, and user-controlled files.
- Category
- local and edge ai
- Stars
- 21
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-intelligence citations document-ai document-intelligence document-qa ios
Something wrong? Category · Trend · Risk
Open-source Llm for Apple silicon devices.
- Category
- local and edge ai
- Stars
- 21
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
inference-engine llm on-device-ai on-device-inference open-source-models
Something wrong? Category · Trend · Risk
A benchmarking framework for on-device AI
- Category
- local and edge ai
- Stars
- 20
- Readiness
- ready (78/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
benchmark local-llm on-device-ai
Something wrong? Category · Trend · Risk
Run GPT-OSS-120B on a 16 GB Mac. Streams mixture-of-experts weights from SSD so only the 2 GiB trunk stays resident. Swift + Metal, no dependencies.
- Category
- local and edge ai
- Stars
- 19
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon gpt-oss inference llm local-llm macos
Something wrong? Category · Trend · Risk
web-ai-sdk: TypeScript SDK for the Web AI surface (Prompt, Writer, Rewriter, Proofreader, Translator, Summarizer, Language Detector, WebMCP).
- Category
- local and edge ai
- Stars
- 19
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
browser-ai built-in-ai chrome-ai gemini-nano language-detection language-model
Something wrong? Category · Trend · Risk
Local-first AI toolkit for the modern web. Build privacy-first AI applications that work entirely in the browser.
- Category
- local and edge ai
- Stars
- 18
- Readiness
- ready (75/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-sdk embeddings llm local-first nextjs offline-first
Something wrong? Category · Trend · Risk
Flutter adapter and Dart FFI runtime bridge for on-device inference with rwkv-mobile.
- Category
- local and edge ai
- Stars
- 18
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
dart ffi flutter local-llm on-device-ai rwkv
Something wrong? Category · Trend · Risk
Private, on-device AI meeting notetaker that runs entirely in your browser — live transcription, speaker ID, and note extraction with no audio leaving your machine (WebGPU + WASM).
- Category
- local and edge ai
- Stars
- 17
- Readiness
- needs review (71/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility
Strongest signals: push recency, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
browser-ml local-first meeting-notes on-device-ai privacy speaker-diarization
Something wrong? Category · Trend · Risk
Mispher turns speech into clean text anywhere on macOS, then goes further - dictation cleanup, rewrite-in-place, translation, and an on-device agent that plans, uses tools, and answers. No cloud, no a
- Category
- local and edge ai
- Stars
- 17
- Readiness
- ready (98/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agent dictation macos mlx mlx-lm on-device-ai
Something wrong? Category · Trend · Risk
An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes
- Category
- local and edge ai
- Stars
- 3,318
- Readiness
- needs review (54/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +9 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 655 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
file-organizer llama3 llm on-device-ai vlm
Something wrong? Category · Trend · Risk
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
- Category
- local and edge ai
- Stars
- 1,446
- Readiness
- needs review (59/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 707 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
acceleration automl efficient-model hardware-aware on-device-ai specialization
Something wrong? Category · Trend · Risk
On-device LLM execution in React Native with Vercel AI SDK compatibility
- Category
- local and edge ai
- Stars
- 1,380
- Readiness
- needs review (67/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai llm on-device-ai react-native
Something wrong? Category · Trend · Risk
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
- Category
- local and edge ai
- Stars
- 1,168
- Readiness
- high risk (38/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load. Risks: no push in 440 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
coreml on-device-ai segment-anything
Something wrong? Category · Trend · Risk
[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"
- Category
- local and edge ai
- Stars
- 960
- Readiness
- needs review (48/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
on-device-ai sam2 segment-anything
Something wrong? Category · Trend · Risk
Optimized Whisper models for streaming and on-device use
- Category
- local and edge ai
- Stars
- 895
- Readiness
- needs review (57/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon coreml mlx nvidia-gpu on-device-ai real-time
Something wrong? Category · Trend · Risk
Local-first, open-source AI assistant for your data. Unify tasks, notes, docs, photos, and bookmarks. Private, self-hosted, and extensible via APIs.
- Category
- local and edge ai
- Stars
- 894
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-assistant automation bookmark-manager bookmarks data-extraction
Something wrong? Category · Trend · Risk
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
- Category
- local and edge ai
- Stars
- 500
- Readiness
- needs review (59/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 388 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android audio-processing deep-neural-networks dnn gmm neural-networks
Something wrong? Category · Trend · Risk
Encrypted & Privacy First, On Android Device AI App
- Category
- local and edge ai
- Stars
- 460
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +8 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
encrypted on-device-ai open-source privacy-first
Something wrong? Category · Trend · Risk
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
- Category
- local and edge ai
- Stars
- 450
- Readiness
- needs review (62/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: no push in 989 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
automl automl-for-compression channel-pruning efficient-model model-compression on-device-ai
Something wrong? Category · Trend · Risk
A ready-to-use, minimal app that converts any speech into text.
- Category
- local and edge ai
- Stars
- 386
- Readiness
- needs review (53/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 763 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-transcription electronjs on-device-ai svelte sveltekit transcription
Something wrong? Category · Trend · Risk
Native macOS app: drop a long video → auto-cut viral shorts, captioned for TikTok/Reels/YouTube, reframed to vertical, and scheduled. 100% on-device (Gemma 4 12B + WhisperKit + MLX).
- Category
- local and edge ai
- Stars
- 361
- Readiness
- needs review (57/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon gemma instagram-reels macos mlx on-device-ai
Something wrong? Category · Trend · Risk
AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.
- Category
- local and edge ai
- Stars
- 309
- Readiness
- high risk (44/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 832 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android dart flutter gemini gemini-nano gen-ai
Something wrong? Category · Trend · Risk
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
- Category
- local and edge ai
- Stars
- 215
- Readiness
- needs review (62/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, fork interest, documentation. Risks: no push in 722 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cardiovascular computer-vision deep-learning healthcare mobile-computing mobilehealth
Something wrong? Category · Trend · Risk
Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. A local Wispr Flow alternative. ⭐ helps a ton :) Windows & iOS waitlist open. Linux soon.
- Category
- local and edge ai
- Stars
- 9,421
- Readiness
- ready (82/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +224 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai dictation ios llama-cpp macos swift
Something wrong? Category · Trend · Risk
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
- Category
- local and edge ai
- Stars
- 3,773
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +15 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chatbot gpt llama llama-cpp llama2 llama3
Something wrong? Category · Trend · Risk
LLM speculative inference server for consumer hardware & heterogeneous computing
- Category
- local and edge ai
- Stars
- 2,724
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +18 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cuda cuda-kernels dflash heterogeneous-computing kernel llama-cpp
Something wrong? Category · Trend · Risk
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
- Category
- local and edge ai
- Stars
- 2,150
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai bindings catai cmake cmake-js cuda
Something wrong? Category · Trend · Risk
Open-source LLM-based ASR model family for Chinese, dialect, accent, and multilingual speech, with FunASR, vLLM, streaming, and llama.cpp runtimes.
- Category
- local and edge ai
- Stars
- 1,458
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +8 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
31-languages asr audio audio-language-model chinese-dialects fun-asr
Something wrong? Category · Trend · Risk
A cosy home for your LLMs.
- Category
- local and edge ai
- Stars
- 1,425
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +11 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai llama-cpp llms macos swift
Something wrong? Category · Trend · Risk
React Native binding of llama.cpp
- Category
- local and edge ai
- Stars
- 1,015
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android ios llama llama-cpp llm react-native
Something wrong? Category · Trend · Risk
Cotabby is local AI autocomplete for your entire Mac. Open source. On device. Everywhere you type.
- Category
- local and edge ai
- Stars
- 940
- Readiness
- needs review (70/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +10 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai autocomplete cotabby cotypist llama llama-cpp
Something wrong? Category · Trend · Risk
ComfyUI nodes for vision-language models: Qwen3-VL, Moondream 3, Florence-2, SmolVLM2, InternVL, Gemma 3, MiniCPM-V. Plus open-vocabulary detection, SAM2/SAM3 segmentation, video temporal reasoning, G
- Category
- local and edge ai
- Stars
- 583
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
comfyui custom-nodes florence-2 gguf grounding-dino image-captioning
Something wrong? Category · Trend · Risk
Arabic-first generative speech recognition — Audar-ASR-V1 (Flash + Turbo). #1 on the Open Universal Arabic ASR Leaderboard. Model cards, benchmarks & inference.
- Category
- local and edge ai
- Stars
- 555
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
arabic arabic-nlp asr audar dialectal-arabic gguf
Something wrong? Category · Trend · Risk
无需 ROOT 的开源 Android 屏幕实时翻译工具,适合游戏、视觉小说和漫画。支持端侧与云端 OCR、离线 LLM、多种翻译服务和文字朗读(TTS),译文可直接显示在画面上。Open-source no-root Android real-time screen translator for games, visual novels, and manga. Supports on-devic
- Category
- local and edge ai
- Stars
- 510
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +59 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android android-app game-translation gguf kotlin llama-cpp
Something wrong? Category · Trend · Risk
A Pure Rust based LLM, VLM, VLA, TTS, OCR Inference Engine, powering by Candle & Rust. Alternate to your llama.cpp but much more simpler and cleaner..
- Category
- local and edge ai
- Stars
- 448
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- medium
- Maintainer health
- healthy
- Maintenance risk
- 8/100 · high confidence
Why: +18 stars in 7 days; 100+ commits in 30 days
Why it may be a gem: consistent human and community activity; healthy maintenance and project fundamentals
Strongest signals: push recency, commit activity, issue load. Risks: no pull-request review responses in 30 days. Missing inputs: release recency.
Capped lower bounds: 30-day commits, response activity.
llama-cpp mllm qwen2-vl qwen3 rust spark-tts
Something wrong? Category · Trend · Risk
memra — from-scratch LLM inference engine for NVIDIA RTX 50-series (Rust + CUDA)
- Category
- local and edge ai
- Stars
- 297
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai blackwell cuda gemma gguf gpu
Something wrong? Category · Trend · Risk
Review/Check GGUF files and estimate the memory usage and maximum tokens per second.
- Category
- local and edge ai
- Stars
- 285
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gguf go llama-box llama-cpp stable-diffusion-cpp
Something wrong? Category · Trend · Risk
Open source, terminal-first AI coding agent with fully transparent multi-model routing. Local (Ollama, LM Studio, MLX, llama.cpp) or cloud, your keys, one TUI. No black box.
- Category
- local and edge ai
- Stars
- 220
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-coding-agent ai-coding-assistant cli coding-agent developer-tools harness
Something wrong? Category · Trend · Risk
Boot your PC straight into an LLM. Rust, UEFI-resident, no operating system underneath.
- Category
- local and edge ai
- Stars
- 201
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +124 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai genai llama-cpp llm ollama runtime
Something wrong? Category · Trend · Risk
A portable terminal AI interface
- Category
- local and edge ai
- Stars
- 196
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
chatgpt-api gemini-api go llama-cpp llm ollama
Something wrong? Category · Trend · Risk
AI-powered screen memory — captures, analyzes, and lets you search/chat your screen history. Powered by Gemma 4 . 100% local, 100% private.
- Category
- local and edge ai
- Stars
- 196
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai fastapi gemma llama-cpp localai multimodal
Something wrong? Category · Trend · Risk
A native LLM client for iOS & Apple Watch. Run local GGUF models offline via llama.cpp, or connect to OpenAI/Claude/Gemini. Features local RAG, Model Context Protocol (MCP) tools, Siri Shortcuts, and
- Category
- local and edge ai
- Stars
- 181
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-assistant apple-watch daily-pulse gguf ios llama-cpp
Something wrong? Category · Trend · Risk
Top AI Calorie Tracker GitHub 2026
- Category
- local and edge ai
- Stars
- 151
- Readiness
- ready (75/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
claude-code claude-code-skills claude-haiku claude-haiku-4-5 claude-opus claude-sonnet-4-6
Something wrong? Category · Trend · Risk
The self-hosted AI workflow automation platform for Git repositories.
- Category
- local and edge ai
- Stars
- 135
- Readiness
- ready (95/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +6 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-tools anthropic automation bitbucket bot
Something wrong? Category · Trend · Risk
A unified inference runtime for VLA models.
- Category
- local and edge ai
- Stars
- 133
- Readiness
- ready (95/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
deployment gguf llama-cpp quantization robotics vla
Something wrong? Category · Trend · Risk
llama.cpp optimizations for IBM POWER8: vec_perm non-bijunctive collapse, PSE hardware entropy, DCBT prefetch. Sovereign inference. Part of the Proof of Physical AI stack.
- Category
- local and edge ai
- Stars
- 129
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-inference ibm llama-cpp llm llm-inference power8
Something wrong? Category · Trend · Risk
Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models
- Category
- local and edge ai
- Stars
- 122
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic-ai ai-agents automation llama-cpp llama-server llm
Something wrong? Category · Trend · Risk
Run large language models locally on Intel Macs with AMD GPUs - native macOS app with Metal acceleration
- Category
- local and edge ai
- Stars
- 104
- Readiness
- ready (78/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
amd-gpu hackintosh intel-mac llama-cpp llm local-ai
Something wrong? Category · Trend · Risk
Selfhost modern LLM stacks. Run the whole fleet from your terminal
- Category
- local and edge ai
- Stars
- 98
- Readiness
- needs review (69/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 30 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agents bubbletea cli docker fastapi golang
Something wrong? Category · Trend · Risk
A package that provides semantically versioned access to llama.cpp in your Swift projects.
- Category
- local and edge ai
- Stars
- 80
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
llama-cpp
Something wrong? Category · Trend · Risk
Run a 110B on a 2016 PC with 16 GB RAM. Know your tok/s before you download. Placement beats budget: predicts speed + memory fit for any GGUF on your exact hardware, self-calibrates, emits the exact l
- Category
- local and edge ai
- Stars
- 72
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +28 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
benchmark gguf hardware-detection inference llama-cpp llm
Something wrong? Category · Trend · Risk
WORLD FIRST: llama.cpp for Mac OS X Tiger & Leopard on PowerPC G4/G5
- Category
- local and edge ai
- Stars
- 68
- Readiness
- ready (90/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
g4 g5 leopard llama-cpp llm llm-inference
Something wrong? Category · Trend · Risk
PopTrans — Windows 本地离线翻译工具。选中文本 / OCR 截图后一键翻译,基于 Go + Wails + llama.cpp 纯 CPU 推理,无需 GPU。
- Category
- local and edge ai
- Stars
- 68
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
go hy-mt2 llama-cpp ocr offline rapidocr
Something wrong? Category · Trend · Risk
Open-source self-hosted home AI inference platform for AMD Strix Halo — multi-backend slots, OpenAI-compatible gateway, Vue 3 + FastAPI + systemd.
- Category
- local and edge ai
- Stars
- 63
- Readiness
- ready (73/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai amd-ryzen-ai fastapi homelab igpu inference
Something wrong? Category · Trend · Risk
1-Click LLM Server on Your Phone — no Termux needed! 无需Termux,一键让你的手机变成LLM服务器!
- Category
- local and edge ai
- Stars
- 56
- Readiness
- ready (85/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
android chatbot flutter llama llama-cpp llama-cpp-ui
Something wrong? Category · Trend · Risk
on-device LLM for iOS with keyboard shortcuts
- Category
- local and edge ai
- Stars
- 56
- Readiness
- needs review (71/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ios llama-cpp llm-inference
Something wrong? Category · Trend · Risk
Sparse-upcycle a dense Gemma-3-270m into a Mixture-of-Experts (gemma3moe) and serve it on llama.cpp (CPU). Upcycle, train, inspect routing, GGUF.
- Category
- local and edge ai
- Stars
- 56
- Readiness
- needs review (71/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cpu-inference gemma gemma3 llama-cpp mixture-of-experts moe
Something wrong? Category · Trend · Risk
User friendly GUI for Llama.cpp for easy configuration and launching.
- Category
- local and edge ai
- Stars
- 54
- Readiness
- ready (86/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +12 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
gguf gui llama-cpp llamacpp llm llm-inference
Something wrong? Category · Trend · Risk
Off Grid AI — private, on-device AI. Run open models (text, vision, image, voice) locally through one OpenAI-compatible gateway. No cloud, no accounts, no API keys.
- Category
- local and edge ai
- Stars
- 53
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +3 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
electron gguf image-generation llama-cpp llm local-ai
Something wrong? Category · Trend · Risk
Benchmark your local LLMs: speed, memory, and quality, in one command. TUI leaderboard for Ollama, LM Studio, llama.cpp, and vLLM.
- Category
- local and edge ai
- Stars
- 49
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
benchmark cli evaluation llama-cpp llm lm-studio
Something wrong? Category · Trend · Risk
Local-first adaptive LLM runtime for Hermes Agent. Matches 8–300 GB hardware, acquires pinned GGUFs through Turbohaul, and safely contracts and heals under VRAM pressure—no remote fallback by default.
- Category
- local and edge ai
- Stars
- 49
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +5 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
adaptive-runtime benchmarking gguf gpu hermes-agent llama-cpp
Something wrong? Category · Trend · Risk
Core of Artificial Intelligence
- Category
- local and edge ai
- Stars
- 46
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai android artificial-intelligence dart firebase flutter
Something wrong? Category · Trend · Risk
Reproducible llama.cpp CPU inference profiling and a deterministic LLM serving simulator with continuous batching, KV cache, prefix caching, and workload-driven latency analysis.
- Category
- local and edge ai
- Stars
- 43
- Readiness
- ready (80/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
continuous-batching kv-cache llama-cpp llm-inference llm-serving prefix-caching
Something wrong? Category · Trend · Risk
Android keyboard with local AI (Ollama, Whisper, MCP) or cloud (Gemini, Groq, OpenAI)
- Category
- local and edge ai
- Stars
- 42
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-keyboard android android-keyboard heliboard keyboard
Something wrong? Category · Trend · Risk
Native AI inference for PHP 8.3+ - run ONNX, GGUF (llama.cpp) and RubixML models directly in your PHP process via FFI. Chat, streaming, embeddings, RAG and vector search. No Python, no HTTP microservi
- Category
- local and edge ai
- Stars
- 40
- Readiness
- ready (96/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai embeddings ffi generative-ai gguf inference
Something wrong? Category · Trend · Risk
PowerShell automation to rebuild llama.cpp for a Windows environment.
- Category
- local and edge ai
- Stars
- 40
- Readiness
- ready (92/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
cmake conda cuda llama-cpp openblas powershell
Something wrong? Category · Trend · Risk
The whole local AI stack in one executable: it runs and manages local AI models across every GPU, and it's a search engine you can talk to, with cited answers from your files, code, and the web. MCP s
- Category
- local and edge ai
- Stars
- 40
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-search-engine chat-with-documents gguf llama-cpp lm-studio local-ai
Something wrong? Category · Trend · Risk
AI commit messages from your local LLM - Ollama / llama-cpp backed, offline, Conventional Commits, with review + changelog modes.
- Category
- local and edge ai
- Stars
- 39
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +4 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai changelog cli code-review conventional-commits developer-tools
Something wrong? Category · Trend · Risk
Non-bijunctive attention collapse for LLM inference — POWER8 hardware AES (vcipher) + AltiVec vec_perm. Hebbian path selection, cross-head diffusion, O(1) KV prefiltering.
- Category
- local and edge ai
- Stars
- 39
- Readiness
- ready (83/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
aes altivec attention-mechanism cpu-inference deep-learning hardware-acceleration
Something wrong? Category · Trend · Risk
From-scratch C++/CUDA inference engine for the NVIDIA RTX 5090 (sm_120a) — the best single-GPU backend for agentic AI: tool calling, long-context loops, reasoning and concurrent sub-agents on top of t
- Category
- local and edge ai
- Stars
- 35
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
blackwell cpp cuda fp4 gated-deltanet gguf
Something wrong? Category · Trend · Risk
Optimized local serving engine for Kimi-Linear-48B: INT4 quantizer, fused decode kernels for a measured 3.18x, and an OpenAI-compatible server. Ships with k3, a bridge that detects the client per requ
- Category
- local and edge ai
- Stars
- 35
- Readiness
- ready (89/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
anthropic-api claude-code coding-agents int4 kimi llama-cpp
Something wrong? Category · Trend · Risk
Lightweight Modular AI Routing Engine for Local LLMs — Run specialised experts efficiently on consumer GPUs using smart Mixture-of-Experts routing.
- Category
- local and edge ai
- Stars
- 33
- Readiness
- ready (87/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-router consumer-gpu gguf llama-cpp local-llm mixture-of-experts
Something wrong? Category · Trend · Risk
Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understand
- Category
- local and edge ai
- Stars
- 2,974
- Readiness
- needs review (63/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +11 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-camera ai-nvr camera cctv computer-vision
Something wrong? Category · Trend · Risk
llama.go is like llama.cpp in pure Golang!
- Category
- local and edge ai
- Stars
- 1,398
- Readiness
- high risk (43/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 686 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
alpaca chatgpt dalai gpt gpt3 gpt4
Something wrong? Category · Trend · Risk
Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.
- Category
- local and edge ai
- Stars
- 1,018
- Readiness
- needs review (62/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: +7 stars in 7 days
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic-workflows ai-agents docker docker-compose examples large-language-models
Something wrong? Category · Trend · Risk
Self-evaluating interview for AI coders
- Category
- local and edge ai
- Stars
- 599
- Readiness
- needs review (51/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 412 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ggml humaneval langchain llama-cpp llm
Something wrong? Category · Trend · Risk
LLama.cpp rust bindings
- Category
- local and edge ai
- Stars
- 423
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 771 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
api-bindings cpp crates-io ffi llama llama-cpp
Something wrong? Category · Trend · Risk
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality lo
- Category
- local and edge ai
- Stars
- 361
- Readiness
- high risk (42/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation. Risks: no push in 443 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
apple-silicon generative-ai kv-cache llama-cpp llm m1
Something wrong? Category · Trend · Risk
This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.
- Category
- local and edge ai
- Stars
- 295
- Readiness
- needs review (57/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- risky
- Maintenance risk
- 30/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: no push in 756 days. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
artificial-intelligence langchain llama-cpp llamaindex machinelearning offline
Something wrong? Category · Trend · Risk
Turn any document or a whole zip into an interactive knowledge graph, using a self-hosted Qwen3.6-35B-A3B-MTP on a single NVIDIA L4
- Category
- local and edge ai
- Stars
- 213
- Readiness
- needs review (64/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals; strong signals despite limited visibility
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
fastapi force-graph gpu information-extraction knowledge-graph llama-cpp
Something wrong? Category · Trend · Risk
Local LLM proxy, DevOps friendly
- Category
- local and edge ai
- Stars
- 11
- Readiness
- ready (99/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, fork interest. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
inference inference-api inference-server language-model-api llama-api llama-cpp
Something wrong? Category · Trend · Risk
Open-source multi-provider AI coding agent — terminal + Electron desktop (Cowork) + 24/7 multi-AI fleet, free-first on local Ollama. Opt-in, human-gated evolutionary self-improvement that ingests rese
- Category
- local and edge ai
- Stars
- 30
- Readiness
- ready (91/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +1 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
agentic ai-agent ai-coding-assistant autonomous-agents chatgpt claude
Something wrong? Category · Trend · Risk
Local AI coding agent for your terminal. Open-source, offline alternative to Claude Code, Cursor & Copilot — powered by Ollama and any local LLM. Private by default, free forever.
- Category
- local and edge ai
- Stars
- 30
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: +2 stars in 7 days
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai ai-coding-assistant ai-pair-programming claude-code-alternative cli code-generation
Something wrong? Category · Trend · Risk
DevoxxGenie is an agentic plugin for IntelliJ IDEA that uses local LLM's (Ollama, LMStudio, GPT4All, Jan and Llama.cpp) and Cloud based LLMs to help review, test, explain your project code. Latest ver
- Category
- local and edge ai
- Stars
- 671
- Readiness
- ready (93/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
anthropic azure-ai chatgpt chatgpt-api claude-3 claude-ai
Something wrong? Category · Trend · Risk
LLMX; Easiest 3rd party Local LLM UI for the web!
- Category
- local and edge ai
- Stars
- 297
- Readiness
- needs review (55/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- watch
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: healthy maintenance and project fundamentals
Strongest signals: issue load, documentation, license. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-ui automatic1111 automatic1111-ui chat-bot chatbot chatgpt
Something wrong? Category · Trend · Risk
Self-hosted multi-user AI assistant with agents, memory, scheduler, ESP32 voice satellites, and a built-in dashboard. Works with Claude, OpenAI, Ollama, LM Studio, and more.
- Category
- local and edge ai
- Stars
- 6
- Readiness
- ready (77/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-agent assistant chat-ui claude dashboard home-assistant
Something wrong? Category · Trend · Risk
Flutter starter example app to get started with NobodyWho, a library designed to run LLMs locally and efficiently on any device.
- Category
- local and edge ai
- Stars
- 16
- Readiness
- ready (77/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai dart flutter inference-engine kokoro-tts llm
Something wrong? Category · Trend · Risk
React Native starter example app to get started with NobodyWho, a library designed to run LLMs locally and efficiently on any device.
- Category
- local and edge ai
- Stars
- 11
- Readiness
- ready (76/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, issue load, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai inference-engine kokoro-tts llm multimodal-ai on-device-ai
Something wrong? Category · Trend · Risk
Local-first AI assistant — 9 specialized agents (code, web, debug, security…), 10M-token vector memory, multimodal (vision + local image generation), two-way voice (dictation + read-aloud), slash comm
- Category
- local and edge ai
- Stars
- 10
- Readiness
- ready (88/100 heuristic points; not a probability)
- Data confidence
- low
- Maintainer health
- healthy
- Maintenance risk
- 0/100 · low confidence
Why: High-signal local and edge ai project
Why it may be a gem: strong signals despite limited visibility; healthy maintenance and project fundamentals
Strongest signals: push recency, fork interest, documentation. Risks: None identified. Missing inputs: commit activity, contributor breadth, release recency, response activity, maintenance distribution.
ai-assistant chatbot chromadb code-generation customtkinter document-processing
Something wrong? Category · Trend · Risk