DeepChat is an open-source AI chat platform designed for seamless interaction with multiple cloud and local large language models. It targets users seeking a unified interface for AI assistants, offering advanced features like search enhancement and tool calling for more accurate and efficient AI interactions.

How It Works

DeepChat employs a unified interface to manage and interact with various LLMs, including cloud APIs (OpenAI, Gemini, Anthropic) and local models via integrated Ollama support. Its core advantage lies in its comprehensive Model Controller Platform (MCP) which enables advanced capabilities like search engine integration, code execution, and web access without requiring separate configurations or command-line operations. This approach simplifies complex AI workflows and enhances response accuracy through real-time information retrieval.

Quick Start & Requirements

• Install: Download pre-built executables for Windows (.exe), macOS (.dmg), or Linux (.AppImage, .deb) from GitHub Releases.
• Dependencies: For development, requires npm install. Specific sharp installations may be needed for different architectures (npm install --cpu=<arch> --os=<os> sharp).
• Setup: Configuration involves adding API keys or Ollama settings within the application.
• Links: GitHub Releases, Contribution Guidelines

Highlighted Details

• Supports over 20 LLM providers including OpenAI, Gemini, Anthropic, Ollama, and more.
• Features robust search extension capabilities with integration for multiple search engines.
• Includes a built-in Node.js runtime for MCP services, supporting code execution and web retrieval.
• Offers multi-platform support (Windows, macOS, Linux) with a user-friendly interface.

Maintenance & Community

DeepChat is an active open-source project with a community focused on issue reporting, feature suggestions, code improvements, documentation, and translations. Contribution guidelines are available.

Licensing & Compatibility

Licensed under the Apache License 2.0, making it suitable for commercial and personal use with no copyleft restrictions.

Limitations & Caveats

The README mentions potential distutils errors during development setup on Windows, requiring pip install setuptools. Mac signing and packaging have a separate guide.