LobeChat

LobeChat

Online

LobeChat is an open-source, self-hosted AI chat framework that supports multiple LLM providers (GPT‑4, Claude 3, Gemini), multimodal inputs (vision, voice, files), plugins, agents, and advanced UI features like artifacts and branching conversations.

Last Updated: 2025/7/9

Detailed Introduction

LobeChat – Modern Open-Source AI Chat Framework

What is LobeChat?

LobeChat is an open-source, multi-model AI chat framework (WebUI) that lets you deploy your own personal ChatGPT-like app. It supports major language models like GPT‑4, Claude 3, Gemini, Mistral, LLaMA, Ollama, DeepSeek, and more


Why Choose LobeChat?

  • Multi-AI platform: Access a variety of AI models (OpenAI, Anthropic, Google Gemini, domestic providers, Ollama, etc.) from a unified interface
  • Free, Open-source & Self-hosted: Released under Apache 2.0, you can deploy it yourself using Docker or Vercel — no fees or login required .
  • Rich multi-modal support: Includes speech-to-text, text-to-speech, image recognition (gemini vision, GPT‑4‑Vision), file upload, whiteboard, text-to-image, and even video generation with plugins
  • Plugin & Agent ecosystem: Offers over 40 plugins (web search, stock analysis, docs) and 500+ agents tailored to domains like coding, research, creative writing
  • Premium UI & conversation features: Beautiful UI with light/dark modes, PWA support, Markdown with code blocks/LaTeX/mermaid, visual “chain-of-thought” tracing, and branching conversations .

Core Features

  • Multi-cloud LLMs: One-click integration with GPT‑3.5/4, Claude 3, Gemini Pro‑Vision, Mistral, DeepSeek and more
  • Vision & voice support: Upload images for visual Q&A. Use TTS/STT to chat via voice
  • Artifacts & whiteboarding: Create interactive diagrams, dynamic HTML, and documents directly inside chat
  • Knowledge base support: Upload files/audio/video, build your own knowledge store and use retrieval-augmented generation
  • Branching conversations: Fork dialogue threads from any message to explore side paths without losing context

How to Install and Use LobeChat

1. Install via Docker (recommended)

bash <(curl -fsSL https://lobe.li/setup.sh) -l zh_CN
docker compose up -d

This script sets up LobeChat with Docker and configures a Chinese locale

2. Or deploy manually

  • Clone the repo: git clone https://github.com/lobehub/lobe-chat.git
  • Use Docker Compose or Vercel to deploy
  • Supports custom domains, SQLite local DB or PostgreSQL/MySQL remote DB

3. Access the app

  • Visit http://localhost:8080 or your domain
  • Register a user (supports next-auth or Clerk for auth)
  • Choose your preferred AI model(s) in settings and start chatting

Usage Tips

  • Switch AI providers to compare responses or privacy/costs .
  • Enable PWA mode to install LobeChat like a native app on desktop or mobile
  • Use visual tools: Upload an image for analysis, then ask follow-up questions
  • Utilize branching to explore alternate solutions without starting over .

FAQ

Q: Is LobeChat free?
A: Yes. It’s an open-source, self-hosted platform with no usage cost. You pay only for any API usage if you connect external LLM providers .

Q: Which models can I use?
A: Supports OpenAI GPTs, Claude 3, Google Gemini Pro‑Vision, Mistral, DeepSeek, Ollama, domestic Chinese models, and more — swappable on the fly

Q: Can it run locally without internet?
A: Yes—if you use local LLaMA/Ollama models. Otherwise, cloud models require internet .

Q: Is data kept private?
A: Yes—your data stays on your server or local browser, giving full control. No third party tracking .

Comments

Leave a Comment

Share your thoughts about this page. All fields marked with * are required.

We'll never share your email.

Comments

0

Rating

9

Quick Action

Lables

aiLobeChatOpen SourceAI ChatMultimodalSelf-HostedPluginsVision AIVoice AssistantLLM UIPersonal AI
一键轻松打造你的专属AI应用
搭建您的专属大模型主页