Deepchat Download

Open-source multi-model AI chat platform with Ollama integration, comprehensive MCP support, advanced search enhancement, multi-tab architecture, and privacy-first design for cloud and local LLMs.

⭐ 5,142 stars on GitHub
Latest Release: v0.5.2

About Software

DeepChat is a powerful open-source AI chat platform built with Electron providing a unified interface for interacting with various LLMs including cloud APIs (OpenAI, Gemini, Anthropic, Kimi, Grok, DeepSeek) and locally deployed Ollama models. Features complete Markdown rendering with CodeMirror-based code blocks, multi-window + multi-tab architecture for parallel sessions, Artifacts rendering for diverse results, and message retry with conversation forking.

Advanced capabilities include robust search extension (MCP mode with BoSearch/Brave Search, simulated web browsing of major search engines, configurable search assistant for any source), excellent MCP protocol support (Resources/Prompts/Tools, semantic workflows, built-in Node.js runtime, StreamableHTTP/SSE/Stdio transports, inMemory services for code/web/file operations), cross-platform (Windows, macOS, Linux), beautiful themed UI, DeepLink support, privacy protection with screen projection hiding and network proxies, and enterprise-friendly Apache 2.0 licensing.

Use Cases:

  • Multi-model AI chat platform supporting cloud (OpenAI, Gemini, Claude, DeepSeek) and local (Ollama) models
  • Built-in Ollama management with comprehensive control of model downloads and deployments without command-line
  • Powerful MCP support with Resources, Prompts, Tools, and inMemory services for code execution and web retrieval
  • Advanced search enhancement via BoSearch, Brave Search, and simulated browsing of Google, Bing, Baidu
  • Multi-window multi-tab architecture with Artifacts rendering, message retry, conversation forking, and privacy-first design

Downloads

v0.5.2 December 05, 2025
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v0.5.1 December 01, 2025
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v0.5.0 November 25, 2025
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v0.4.9 November 23, 2025
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v0.4.8 November 20, 2025
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v0.4.6 November 13, 2025
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v0.4.5 November 09, 2025
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v0.4.3 October 26, 2025
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v0.4.2 October 22, 2025
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v0.4.1 October 14, 2025
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v0.4.0 October 14, 2025
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v0.3.9 October 11, 2025
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v0.3.8 September 29, 2025
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v0.3.7 September 26, 2025
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v0.3.6 September 23, 2025
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v0.3.5 September 08, 2025
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v0.3.4 August 30, 2025
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v0.3.3 August 27, 2025
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v0.3.2 August 26, 2025
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v0.3.1 August 18, 2025
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v0.3.0 August 13, 2025
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v0.2.9 August 05, 2025
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v0.2.8 August 02, 2025
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v0.2.7 July 27, 2025
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v0.2.6 July 16, 2025
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v0.2.5 June 30, 2025
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v0.2.4 June 21, 2025
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v0.2.3 June 12, 2025
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Package Info

Last Updated
Dec 05, 2025
Latest Version
v0.5.2
License
Apache-2.0
Total Versions
28

README

DeepChat - Powerful Open-Source Multi-Model AI Chat Platform

DeepChat is a feature-rich open-source AI chat platform supporting multiple cloud and local large language models with powerful search enhancement and tool calling capabilities.

中文 / English / 日本語

📑 Table of Contents

  • 📑 Table of Contents
  • 🚀 Project Introduction
  • 💡 Why Choose DeepChat
  • 🔥 Main Features
  • 🤖 Supported Model Providers
    • Compatible with any model provider in OpenAI/Gemini/Anthropic API format
  • 🔍 Use Cases
  • 📦 Quick Start
    • Download and Install
    • Configure Models
    • Start Conversations
  • 💻 Development Guide
    • Install Dependencies
    • Start Development
    • Build
  • 👥 Community & Contribution
  • ⭐ Star History
  • 👨‍💻 Contributors
  • 📃 License

🚀 Project Introduction

DeepChat is a powerful open-source AI chat platform providing a unified interface for interacting with various large language models. Whether you're using cloud APIs like OpenAI, Gemini, Anthropic, or locally deployed Ollama models, DeepChat delivers a smooth user experience.

As a cross-platform AI assistant application, DeepChat not only supports basic chat functionality but also offers advanced features such as search enhancement, tool calling, and multimodal interaction, making AI capabilities more accessible and efficient.

💡 Why Choose DeepChat

Compared to other AI tools, DeepChat offers the following unique advantages:

  • Unified Multi-Model Management: One application supports almost all mainstream LLMs, eliminating the need to switch between multiple apps
  • Seamless Local Model Integration: Built-in Ollama support allows you to manage and use local models without command-line operations
  • Advanced Tool Calling: Built-in MCP support enables code execution, web access, and other tools without additional configuration
  • Powerful Search Enhancement: Support for multiple search engines makes AI responses more accurate and timely, providing non-standard web search paradigms that can be quickly customized
  • Privacy-Focused: Local data storage and network proxy support reduce the risk of information leakage
  • Business-Friendly: Embraces open source under the Apache License 2.0, suitable for both commercial and personal use

🔥 Main Features

  • 🌐 Multiple Cloud LLM Provider Support: DeepSeek, OpenAI, Kimi, Grok, Gemini, Anthropic, and more
  • 🏠 Local Model Deployment Support:
    • Integrated Ollama with comprehensive management capabilities
    • Control and manage Ollama model downloads, deployments, and runs without command-line operations
  • 🚀 Rich and Easy-to-Use Chat Capabilities
    • Complete Markdown rendering with code block rendering based on industry-leading CodeMirror (https://codemirror.net/)
    • Multi-window + multi-tab architecture supporting parallel multi-session operations across all dimensions, use large models like using a browser, non-blocking experience brings excellent efficiency
    • Supports Artifacts rendering for diverse result presentation, significantly saving token consumption after MCP integration
    • Messages support retry to generate multiple variations; conversations can be forked freely, ensuring there's always a suitable line of thought
    • Supports rendering images, Mermaid diagrams, and other multi-modal content; supports GPT-4o, Gemini, Grok text-to-image capabilities
    • Supports highlighting external information sources like search results within the content
  • 🔍 Robust Search Extension Capabilities
    • Built-in integration with leading search APIs like BoSearch, Brave Search via MCP mode, allowing the model to intelligently decide when to search
    • Supports mainstream search engines like Google, Bing, Baidu, and Sogou Official Accounts search by simulating user web browsing, enabling the LLM to read search engines like a human
    • Supports reading any search engine; simply configure a search assistant model to connect various search sources, whether internal networks, API-less engines, or vertical domain search engines, as information sources for the model
  • 🔧 Excellent MCP (Model Context Protocol) Support
    • Complete support for the three core capabilities of Resources/Prompts/Tools in the MCP protocol
    • Supports semantic workflows, enabling more complex and intelligent automation by understanding the meaning and context of tasks.
    • Extremely user-friendly configuration interface
    • Aesthetically pleasing and clear tool call display
    • Detailed tool call debugging window with automatic formatting of tool parameters and return data
    • Built-in Node.js runtime environment; npx/node-like services require no extra configuration and work out-of-the-box
    • Supports StreamableHTTP/SSE/Stdio protocol Transports
    • Supports inMemory services with built-in utilities like code execution, web information retrieval, and file operations; ready for most common use cases out-of-the-box without secondary installation
    • Converts visual model capabilities into universally usable functions for any model via the built-in MCP service
  • 💻 Multi-Platform Support: Windows, macOS, Linux
  • 🎨 Beautiful and User-Friendly Interface, user-oriented design, meticulously themed light and dark modes
  • 🔗 Rich DeepLink Support: Initiate conversations via links for seamless integration with other applications. Also supports one-click installation of MCP services for simplicity and speed
  • 🚑 Security-First Design: Chat data and configuration data have reserved encryption interfaces and code obfuscation capabilities
  • 🛡️ Privacy Protection: Supports screen projection hiding, network proxies, and other privacy protection methods to reduce the risk of information leakage
  • 💰 Business-Friendly:
    • Embraces open source, based on the Apache License 2.0 protocol, enterprise use without worry
    • Enterprise integration requires only minimal configuration code changes to use reserved encrypted obfuscation security capabilities
    • Clear code structure, both model providers and MCP services are highly decoupled, can be freely customized with minimal cost
    • Reasonable architecture, data interaction and UI behavior separation, fully utilizing Electron's capabilities, rejecting simple web wrappers, excellent performance
See full README on repository.