Deepchat

🚀 Deep Chat Project Introduction

This project offers a comprehensive chat solution with various features and broad model compatibility.

🚀 Quick Start

This deep chat project provides a range of powerful features and is highly compatible with multiple API formats. You can quickly start using it by following the installation and startup steps below.

✨ Features

• Local Model Management: Supports local model deployment using Ollama.
• Local File Handling: Capable of handling local files.
• Artifacts Support: Provides functions related to Artifacts.
• Custom Search Engine: Implemented through model parsing without the need for API adaptation.
• MCP Support: Built - in npx functionality, no additional Node environment installation required.
• Multimodal Model Compatibility: Supports multimodal models.
• Chat Data Backup and Restoration: Offers backup and restoration functions for local chat data.
• Compatibility with Model Providers: Compatible with any model provider following the OpenAI, Gemini, or Anthropic API formats.

📦 Installation

Install Dependencies

$ npm install
$ npm run installRuntime
# If an error occurs: No module named 'distutils'
$ pip install setuptools
# For Windows x64 systems
$ npm install --cpu=x64 --os=win32 sharp
# For Mac with Apple Silicon architecture
$ npm install --cpu=arm64 --os=darwin sharp
# For Mac with Intel architecture
$ npm install --cpu=x64 --os=darwin sharp
# For Linux x64 systems
$ npm install --cpu=x64 --os=linux sharp

Start Development

$ npm run dev

Build Guide

# Build for Windows systems
$ npm run build:win

# Build for macOS systems
$ npm run build:mac

# Build for Linux systems
$ npm run build:linux

# Build for specific architectures
$ npm run build:win:x64
$ npm run build:win:arm64
$ npm run build:mac:x64
$ npm run build:mac:arm64
$ npm run build:linux:x64
$ npm run build:linux:arm64

🤝 Contribution

If you're interested in contributing, please refer to the Contribution Guide. Windows and Linux packages are built by GitHub Actions.

📚 Documentation

The project has the following additional features:

• Support for local model management (via Ollama).
• Support for local file handling.
• Provision of Artifacts - related functions.
• Customizable search engine (parsed directly through the model without API adaptation).
• Built - in MCP support (no additional Node environment required).
• Compatibility with multimodal models.
• Chat data backup and restoration functions.
• Full compatibility with any model provider following the OpenAI, Gemini, and Anthropic API formats.

📄 License

LICENSE