LobeChat (81,314 Stars) 2026

📘 Tutorials 2026-08-06 2 min read

LobeChat (81,314 stars) is a modern, self-hostable AI chat interface with multi-provider support, plugins and a plugin marketplace. Here is the complete setup guide.

📜 Table of Contents

The short answer

lobehub/lobe-chat (81,314 stars, TypeScript) is an open-source AI chat framework that you can deploy in one click. It supports OpenAI, Claude, Gemini, and dozens of providers (including OpenAI-compatible local endpoints), plus a rich plugin system that lets assistants call APIs, search the web, and render charts.

What makes LobeChat popular

Deploy with Docker

docker run -d -p 3210:3210 \n  -e OPENAI_API_KEY=sk-... \n  --name lobe-chat \n  lobehub/lobe-chat

Open http://localhost:3210 - that is it. For a production setup, use the official docker-compose with a database (Postgres + pgvector) to enable file RAG and multi-user auth.

Using local models

Set an OpenAI-compatible provider to point at Ollama or vLLM:

  1. Go to Settings - Language Model - Add provider.
  2. Choose OpenAI (compatible), set base URL to http://localhost:11434/v1 (Ollama).
  3. Pick any Ollama model from the dropdown and chat.

Practical tips

FAQ

Is it free? Yes - open source (MIT) with optional hosted cloud service.

Does it support RAG? Yes - with the database deployment, you can chat with documents.

Can multiple users use it? Yes - with auth enabled and the Postgres setup, it supports multi-user workspaces.

❓ FAQ

Is it free?

Yes - open source (MIT) with optional hosted cloud service.

Does it support RAG?

Yes - with the database deployment, you can chat with documents.

Can multiple users use it?

Yes - with auth enabled and the Postgres setup, it supports multi-user workspaces.

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Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only — no paid placements.

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