How to Deploy Lobe Chat with Docker: Complete Self-Hosting Guide

**Lobe Chat** is the most popular open-source ChatGPT alternative on GitHub with over 79,000 stars. This guide walks you through deploying your own fully-featured Lobe Chat instance with Docker in just minutes. ## Why Self-Host Lobe Chat? Unlike proprietary chatbots that lock you into one ecosystem, Lobe Chat gives you complete control over your AI assistant. You can choose any LLM provider — OpenAI, Claude, Gemini, DeepSeek, Groq, or even a local Ollama setup — and switch between them instantly. Lobe Chat also features a built-in Knowledge Base system for RAG-powered conversations, an Agent Marketplace with hundreds of pre-built agents, MCP integration for external tool calling, and a plugin system that extends functionality endlessly. ## Prerequisites - Docker and Docker Compose installed on your server - At least 1 GB RAM (2 GB recommended) - An API key from your preferred LLM provider ## Quick Start with Docker The fastest way to run Lobe Chat is with a single Docker command:

docker run -d -p 8080:8080 --name lobe-chat lobehub/lobe-chat:latest

Once started, open your browser at http://localhost:8080 and configure your API key. ## Docker Compose Deployment For a production setup with persistent storage:

services:
  lobe-chat:
    image: lobehub/lobe-chat:latest
    restart: unless-stopped
    ports:
      - "8080:8080"
    volumes:
      - ./data/lobe-chat:/data

Then run: docker compose up -d Lobe Chat Desktop Interface

## Configuration Lobe Chat supports configuration via environment variables. Key options include OPENAI_API_KEY for your default provider and ACCESS_CODE to password-protect your instance. ## Connect Multiple LLM Providers Lobe Chat supports native multi-provider connections. Go to Settings > Language Model and add API keys for OpenAI (GPT-4o, o3), Anthropic Claude (Claude 3.5 Sonnet, Opus), Google Gemini (Gemini 2.0 Pro, Flash), DeepSeek (DeepSeek-V2, R1), and Ollama for local models. ## Advanced Features Once running, explore Lobe Chat’s features: Knowledge Base for document Q&A with RAG, Agent Marketplace with specialized agents, MCP Tools for external service connections, Plugin System for extending functionality, TTS/STT for voice support, and Multi-User collaboration with RBAC. ## Conclusion Deploying Lobe Chat with Docker takes under 5 minutes and gives you a powerful, feature-rich AI chat platform. With 79k+ GitHub stars and a vibrant community, it is the most mature open-source ChatGPT alternative available today.