chatbot-ui

AI chat for any model.

open-sourceagent-frameworks
33.1k
Stars
+-8
Stars/month
0
Releases (6m)

Star Growth

32.5k33.1k33.8kMar 27Apr 1

Overview

Chatbot UI 是一个开源的 AI 聊天应用,支持与任何 AI 模型进行对话。该项目拥有超过 33,000 GitHub stars,提供了完整的聊天界面解决方案。应用最近更新到 2.0 版本,从浏览器本地存储迁移到 Supabase 后端,解决了安全问题和存储限制,并增强了多模态功能支持。用户可以选择自行部署或使用官方托管版本 (chatbotui.com)。项目由 Mckay Wrigley 维护,拥有活跃的社区支持和详细的文档。该工具特别适合需要快速搭建 AI 聊天界面的开发者和企业,提供了灵活的部署选项和现代化的用户体验。

Deep Analysis

Key Differentiator

vs ChatGPT web app: open-source, self-hosted with Supabase backend for full data ownership — the most popular open-source ChatGPT UI clone with 28k+ stars

Capabilities

  • Open-source AI chat interface supporting multiple models
  • Supabase-backed data persistence and user authentication
  • File upload and sharing capabilities
  • Multiple chat sessions management
  • Real-time streaming responses
  • Responsive web design
  • Self-hostable with full data ownership

🔗 Integrations

OpenAISupabase (PostgreSQL)Docker

Best For

  • Developers wanting a self-hosted ChatGPT-like UI with data persistence
  • Teams needing an open-source chat interface they can customize
  • Organizations wanting full control over their AI chat data

Not Ideal For

  • Users wanting zero-setup (requires Supabase infrastructure)
  • Teams needing multi-model comparison in a single interface
  • Non-technical users (setup requires Docker and CLI)

Languages

TypeScript/Next.js

Deployment

npm installSupabase local or hostedDocker

Known Limitations

  • Requires Supabase (Docker needed for local setup)
  • Active development — deployment may have friction
  • v2.0 breaking change from v1.0 (legacy branch for old code)
  • Mobile layout improvements still in progress

Pros

  • + 支持任何 AI 模型,提供极大的灵活性和选择自由
  • + 提供官方托管版本和自部署选项,满足不同用户需求
  • + 使用现代技术栈 (Supabase) 确保数据安全和扩展性

Cons

  • - 本地开发需要 Docker 和 Supabase CLI,增加了环境配置复杂度
  • - 从 1.0 到 2.0 的重大更新可能导致向后兼容性问题

Use Cases

  • 企业内部 AI 助手:快速为团队部署私有化的 AI 聊天服务
  • AI 产品原型开发:为 AI 应用快速搭建聊天界面进行概念验证
  • 多模型对比测试:在同一界面中测试和比较不同 AI 模型的表现

Getting Started

1. 克隆仓库并安装依赖:git clone + npm install;2. 设置 Supabase 环境:安装 Docker 和 Supabase CLI,运行本地实例;3. 启动开发服务器:配置环境变量后运行 npm run dev

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