TS

evo-chat

by evo-family/evo-chat

0 views

Evo Chat(Evolution Chat)是一个现代化的开源 AI 对话平台,致力于打造最优雅的大模型交互入口。它支持对接 ChatGPT,Deepseak, 等主流大语言模型(LLM)服务商,并在此基础上不断进化,识库增强、多模态处理、MCP(Model Control Protocol)等扩展能力,让 AI 能力更加丰富。支持全平台部署(Web、App、Windows、Mac、Linux),为用户提供无处不在的 AI 能力入口。

nodejstypescriptChat & Messaging

Welcome to Evo Chat 👋

English | 简体中文

Version Documentation Maintenance License: Apache 2.0

Evo Chat (Evolution Chat) is a modern open-source AI conversation platform dedicated to creating the most elegant interface for large model interactions. It supports integration with mainstream Large Language Model (LLM) providers such as ChatGPT, Deepseak, and more, while continuously evolving with enhanced capabilities like knowledge base augmentation, multimodal processing, and MCP (Model Control Protocol). Supporting cross-platform deployment (Web, App, Windows, Mac, Linux), it provides ubiquitous AI accessibility for users.

🖼️ Interface Display

  • Homepage Homepage

  • Assistant Assistant

  • Knowledge Base Knowledge Base

  • MCP MCP

  • MCP Session MCP Session

  • Model Management Model Management

  • Dark Mode Dark Mode

✨ Features

  • 💬 Intelligent Conversation

    • Support for multiple model integration, providing flexible conversation capabilities
    • Context-aware conversations maintaining coherence
    • Knowledge base Q&A for quick information retrieval
  • 🚀 Knowledge Base Management

    • Support for creating, editing, and deleting knowledge bases
    • Document vectorization for improved retrieval efficiency
    • Vector search for quick content location
  • 📁 File Management

    • Support for file upload, preview, and deletion
    • File categorization management
    • Batch operations for improved efficiency
  • 💻 Cross-Platform Support

    • Web access for anywhere, anytime use
    • Desktop client support (Windows, Mac, Linux)
    • Mobile app with smooth experience
  • 🤖 Intelligent Assistants

    • Pre-configured professional domain assistants (programming, writing, translation, etc.)
    • Customizable assistant roles and domains
    • Independent knowledge base management for assistants
    • Quick switching between different assistant scenarios
  • 🔮 Advanced Features

    • MCP (Model Control Protocol) protocol support

📁 Project Structure

.
├── packages
│   ├── b-component            # Shared business component library
│   ├── data-store             # Data management
│   ├── knowledge-service      # Knowledge service (electron project only)
│   ├── pglite-manager         # pglite local PostgreSQL database
│   ├── platform-bridge        # Cross-platform capabilities
│   ├── types                  # Global type definitions
│   └── utils                  # Common utility functions
├── projects
│   ├── electron-app           # Desktop client
│   ├── h5                     # Mobile application
│   └── web                    # Web application
├── scripts
│   ├── build                 # Build-related scripts
│   └── utils                 # Utility scripts
└── docs                      # Project documentation

📦 Development

Requirements

  • Node.js >= 20.18.3
  • pnpm >= 9.15.5

Getting Started

# Clone the project
git clone https://github.com/evo-family/evo-chat.git

# Enter project directory
cd evo-chat

# Install dependencies
pnpm install

# Start web
pnpm run dev:web

# Start h5
pnpm run dev:h5

# Start h5
pnpm run dev:h5

# Start electron
pnpm run dev:client

Contact

Add WeChat evo-chat to contact us

👥 Contribution Guide

Welcome to the Evo Chat open source community! We appreciate all contributions, whether it's submitting code, reporting issues, or improving documentation.

How to Contribute

  1. Fork this repository
  2. Create your feature branch ( git checkout -b feature/AmazingFeature )
  3. Commit your changes ( git commit -m 'Add some AmazingFeature' )
  4. Push to the branch ( git push origin feature/AmazingFeature )
  5. Submit a Pull Request

Contributors

Thanks to all contributors:

📄 开源协议

This project is licensed under the Apache 2.0 License.

Install

No configuration available
For more configuration details, refer to the content on the left

Related

Related projects feature coming soon

Will recommend related projects based on sub-categories