Local LLM
Ollama
The simplest way to run open language models on your own machine.
★ 182.1k starsMIT
View guide →One-command installer for a full self-hosted AI stack on your server.
selfhost-ai is an open-source local llm project by kossakovsky (kossakovsky/selfhost-ai on GitHub). It has 939 GitHub stars and 239 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
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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Free and open — grab the source, star the repo, and start creating.