LobeChat — Open-Source Multi-Model Chat UI

What it is

LobeChat is a beautiful open-source chat interface that supports Claude, GPT-4, Gemini, Ollama, and 50+ other model providers. It provides a unified chat experience with features like plugin support, vision (image understanding), text-to-speech, knowledge base integration, and multi-modal conversations. The application can be self-hosted or deployed to Vercel with one click.

Developers, teams, and individuals who want a polished chat UI that works with multiple AI providers without vendor lock-in benefit most. LobeChat eliminates the need to switch between different provider web interfaces.

How it saves time or tokens

LobeChat centralizes all model interactions in one interface. Instead of maintaining accounts and switching tabs between ChatGPT, Claude, and Gemini, you configure all providers once and switch models mid-conversation. The plugin ecosystem extends the chat with web search, code execution, and file handling without building custom integrations. Self-hosting gives you full control over data retention and avoids per-seat pricing from commercial chat products.

How to use

1. Deploy LobeChat with Docker:

docker run -d -p 3210:3210 lobehub/lobe-chat

1. Open http://localhost:3210 in your browser and configure your model providers in Settings:

OpenAI API Key: sk-...
Anthropic API Key: sk-ant-...
Ollama endpoint: http://localhost:11434

1. Start chatting. Select your model from the dropdown and use features like vision, plugins, and knowledge base from the sidebar.

Example

# One-click deploy to Vercel
npx create-lobe-chat@latest

# Docker Compose with database persistence
version: '3'
services:
  lobe-chat:
    image: lobehub/lobe-chat
    ports:
      - '3210:3210'
    environment:
      - OPENAI_API_KEY=sk-...
      - ANTHROPIC_API_KEY=sk-ant-...
    volumes:
      - ./data:/app/data

Related on TokRepo

• AI Tools for Coding -- Developer tools and AI interfaces
• Local LLM with Ollama -- Run local models that integrate with LobeChat

Common pitfalls

• Each model provider requires its own API key configured separately. LobeChat does not include API credits -- you bring your own keys and pay each provider directly.
• Self-hosted deployments store chat history locally by default. Configure a database backend (Postgres) for production use to avoid data loss on container restart.
• Plugin availability varies. Not all plugins work with all model providers. Check plugin compatibility with your chosen model before relying on it in workflows.