RAG et connaissances
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Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
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Voir le guide →atomic-agent est un projet de LLM locaux open source, créé par AtomicBot-ai (AtomicBot-ai/atomic-agent sur GitHub). Il compte 2 729 étoiles sur GitHub et 256 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
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.
Scriptable from the terminal, so it drops straight into existing workflows.
Large language models drive its smartest features, locally or via API.
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.
Download the source and move into the project folder.
git clone https://github.com/AtomicBot-ai/atomic-agent.git
cd atomic-agentEvery 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 AtomicBot-ai/atomic-agent with 256 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
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…
Local-first dashboard of tokens, models, and cost for coding agents.
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
Agent hub that spins up a fresh orchestrator per task, local-first.
Les autres projets de la catégorie LLM locaux avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si atomic-agent 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 atomic-agent — continuez à explorer de part et d'autre.
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models rem…
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in productio…
AI e-book reader with semantic search, RAG chat, notes, and text-to-speech.
GGUF Quantization support for native ComfyUI models
Local-first widget tracking token usage and costs across 43+ AI coding tools.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.