eechat

What is eechat?

eechat is a powerful, open-source, and cross-platform desktop AI chat application designed for local deployment. It prioritizes security, privacy, and efficiency, allowing users to have personalized AI conversations without relying on continuous internet connectivity after initial setup. A key feature is its integration with the Model Context Protocol (MCP), which enhances its capabilities for AI assistant scenarios.

How to use eechat?

To use eechat, you can either download pre-built packages for Windows, macOS, or Linux from the releases page or build it from source. Building from source involves cloning the repository, installing dependencies with npm install, and then running in development mode with npm run dev or building the application with npm run build. Once installed, eechat provides a user-friendly interface for managing AI conversations, integrating MCP tools, and customizing settings.

Key Features of eechat

• MCP Support: A core extension for AI assistant scenarios, enabling easy integration, management, and execution of various AI tools and services. It features a visual management interface, visual configuration for adding new MCP applications, a professional JSON configuration file editor, and an integrated runtime environment for automatic dependency setup.
• Data Security & Privacy Protection: All conversation data is stored locally, ensuring privacy. It offers offline capability and allows API customization to connect to personal AI models or third-party services.
• Superior Conversation Experience: Includes multi-session management, automatic conversation history tracking, perfect Markdown support with precise rendering, and smart code highlighting.
• Personalization Options: Provides theme switching (light/dark), prompt management for frequently used prompts, and model parameter tuning (temperature, max output).
• Powerful Extensibility: Supports a plugin ecosystem, multi-model integration (OpenAI, Anthropic, etc.), and custom model support.
• Enhanced Intelligent Conversation: Features context understanding, multi-turn optimization, and knowledge base integration.
• Developer-Friendly: Offers code generation and explanation, API documentation generation, and debug assistance.
• Productivity Tools: Includes document summarization, mind map generation, and multi-language translation.

Use Cases of eechat

• Secure and Private AI Conversations: For users who prioritize data privacy and want to keep their AI interactions local.
• AI Assistant Development: Developers can leverage MCP to integrate and manage various AI tools and services, creating custom AI assistants.
• Offline AI Access: Ideal for environments with limited or no internet connectivity after initial setup.
• Personalized AI Experience: Users can customize themes, manage prompts, and fine-tune model parameters to suit their preferences.
• Code Generation and Debugging: Developers can use eechat to generate code, explain existing code, and get assistance with debugging.
• Content Creation and Summarization: Utilize productivity tools for document summarization, mind map generation, and multi-language translation.

FAQ from eechat

While a dedicated FAQ section is not explicitly present in the provided README, common questions based on the project's description and features might include:

• What are the system requirements for running eechat?
  • Windows 10/11 64-bit, macOS 10.15+, or Linux (Ubuntu 18.04+, Debian 10+).
  • Minimum 4GB RAM, 500MB available disk space.
  • Optional: GPU with CUDA support (8GB+ for Windows).
• Does eechat require an internet connection?
  • No, after initial setup, it offers offline capability as all conversation data is stored locally.
• Can I use my own AI models with eechat?
  • Yes, eechat supports API customization, allowing you to connect to your own AI model APIs or third-party services.
• What is MCP and how does it enhance eechat?
  • MCP (Model Context Protocol) is a core extension for AI assistant scenarios, enabling easy integration, management, and execution of various AI tools and services, greatly enhancing the playability and professionalism of local AI.
• Is eechat open-source?
  • Yes, eechat is an open-source project.

Core Advantages

eechat is an AI chat application focused on local deployment, providing users with a secure, private, and efficient AI conversation experience.

🎉 MCP Support

MCP (Model Context Protocol) is a brand-new core extension capability of eechat, designed specifically for AI assistant scenarios. It greatly enhances the playability and professionalism of local AI. With MCP, you can easily integrate, manage, and run various AI tools and services with just one click, making your AI assistant infinitely expandable.

MCP Main Interface

Through the MCP management interface, you can easily view, install, start, stop, and remove various AI tools without command-line operations, significantly lowering the entry barrier.

MCP Visual Configuration

Provides a form-based visual way to add new MCP applications, supporting automatic README reading or AI-powered configuration filling. Even beginners can quickly integrate new tools.

MCP File Configuration

Built-in professional JSON configuration file editor, supporting formatting, reset, and quick navigation. Perfect for advanced users to batch manage and deeply customize. Fully compatible with Claude Desktop, Cursor, and Cline configurations.

Integrated Runtime Environment

Built-in automatic detection and one-click download for runtimes like bun and uv. No manual dependency setup required, ensuring Node.js/Python tools are ready to use out of the box.

Plugin Ecosystem & Hot-Swapping

MCP tools can be added, removed, or upgraded at any time, supporting multi-instance parallel running. Build your own exclusive AI toolbox.

Tool Invocation in Chat

All MCP tools can be called directly in the chat window, enabling seamless collaboration between AI and tools.

🔒 Data Security & Privacy Protection

• Fully Local Storage: All conversation data is stored locally, eliminating privacy leak risks

• Offline Capability: No continuous internet connection required after initial setup
• API Customization: Connect to your own AI model API or third-party services, maintaining full data flow control

💬 Superior Conversation Experience

• Multi-Session Management: Easily create and manage multiple independent conversations
• History Tracking: Automatically save all conversation history for review and continuation
• Perfect Markdown Support: Precise rendering of Markdown format, including code blocks, tables, and math formulas
• Smart Code Highlighting: Automatic code block detection and highlighting for multiple programming languages

🎨 Personalization Options

• Theme Switching: Built-in light and dark themes for different scenarios and preferences
• Prompt Management: Save and manage frequently used prompts to improve conversation efficiency
• Model Parameter Tuning: Flexibly adjust temperature, max output, and other parameters for optimal responses

🔌 Powerful Extensibility

• Plugin Ecosystem: Support for functional extensions to meet specific scenario needs
• Multi-Model Integration: Easy integration with various AI model APIs like OpenAI, Anthropic, etc.
• Custom Model Support: Configure and use custom local or remote AI models

Key Features

Enhanced Intelligent Conversation

• Context Understanding: AI maintains context coherence in long conversations
• Multi-Turn Optimization: Enhanced interaction experience for complex queries
• Knowledge Base Integration: Connect custom knowledge bases for more accurate domain-specific responses

Developer-Friendly

• Code Generation & Explanation: Optimized code generation capabilities supporting multiple programming languages
• API Documentation Generation: Assist developers in quickly generating API documentation
• Debug Assistance: Help identify code issues and provide fix suggestions

Productivity Tools

• Document Summarization: Quickly summarize long document content
• Mind Map Generation: Transform complex concepts into structured mind maps
• Multi-Language Translation: Support high-quality translation between multiple languages

Local Deployment

eechat is designed for local deployment, ensuring your data security and optimal user experience.

System Requirements

• Windows 10/11 64-bit
• macOS 10.15+
• Linux (Ubuntu 18.04+, Debian 10+)
• Minimum 4GB RAM
• 500MB available disk space
• GPU with CUDA support (optional) 8GB+ (Windows)

Installation Methods

Download Pre-built Packages

Download the appropriate installation package for your system from the releases page:

Build from Source

# Clone repository
git clone https://github.com/Lucassssss/eechat.git
cd eechat

# Install dependencies
npm install

# Run in development mode
npm run dev

# Build application
npm run build```