LLM locaux
atomic-agent
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
★ 2,7 k étoilesMIT
Voir le guide →Fabric est un projet de LLM locaux open source, créé par danielmiessler (danielmiessler/Fabric sur GitHub). Il compte 44 158 étoiles sur GitHub et 4 293 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI …
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Ask questions over your PDFs, notes, and codebases.
Download the source and move into the project folder.
git clone https://github.com/danielmiessler/Fabric.git
cd FabricEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at danielmiessler/Fabric with 4,293 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
Close on many tasks now; frontier cloud models still lead on hard reasoning.
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Powerful AI Client
BitNet — Microsoft's official inference framework for 1-bit large language models, running fast on ordinary CPUs, MIT
Run siliconscope locally: sudoless apple silicon system monitor (native swiftui g.
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 llm…
Les autres projets de la catégorie LLM locaux avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si Fabric ne vous convient pas.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Projets de la catégorie LLM locaux proches dans le catalogue, les plus proches en étoiles de Fabric — continuez à explorer de part et d'autre.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
BitNet — Microsoft's official inference framework for 1-bit large language models, running fast on ordinary CPUs, MIT
Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Run frontier AI locally.
Hundreds of models & providers. One command to find what runs on your hardware.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.