LLM locaux
Ollama
The simplest way to run open language models on your own machine.
★ 182,1 k étoilesMIT
Voir le guide →selfhost-ai est un projet de LLM locaux open source, créé par kossakovsky (kossakovsky/selfhost-ai sur GitHub). Il compte 939 étoiles sur GitHub et 239 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
One-command installer for a full self-hosted AI stack on your server.
Prepare a machine with Docker.
One command sets up the whole stack.
Caddy provisions certificates automatically.
Open each service from your new AI hub.
The entire stack installs in a single step.
n8n, Ollama, Dify, ComfyUI, and many more.
Everything orchestrated declaratively.
Caddy handles certificates for you.
Built-in visibility into the stack.
Free automation without per-task fees.
Download the source and move into the project folder.
git clone https://github.com/kossakovsky/selfhost-ai.git
cd selfhost-aiEvery 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 commandA server with Docker; check the README for sizing guidance.
Apache 2.0 licensed — commercial use allowed with attribution.
n8n, Ollama, Open WebUI, OpenClaw, Dify, Flowise, Supabase, ComfyUI, Qdrant, and more.
Caddy automatically provisions and renews certificates.
Check the docs for selective deployment options.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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