Dive AI Agent

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Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨

!Dive Demo

Features 🎯

• 🌐 Universal LLM Support: Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models
• 💻 Cross-Platform: Available for Windows, MacOS, and Linux
• 🔄 Model Context Protocol: Enabling seamless MCP AI agent integration on both stdio and SSE mode
• ☁️ OAP Cloud Integration: One-click access to managed MCP servers via OAPHub.ai (https://oaphub.ai/) - eliminates complex local deployments
• 🏗️ Dual Architecture: Modern Tauri version alongside traditional Electron version for optimal performance
• 🌍 Multi-Language Support: Supports 24+ languages including English, Traditional Chinese, Simplified Chinese, Spanish, Japanese, Korean, German, French, Italian, Portuguese, Russian, Thai, Vietnamese, Filipino, Indonesian, Polish, Turkish, Ukrainian, Swedish, Norwegian, Finnish, and Lao
• ⚙️ Advanced API Management: Multiple API keys and model switching support with model_settings.json
• 🛠️ Granular Tool Control: Enable/disable individual MCP tools for precise customization
• 💡 Custom Instructions: Personalized system prompts for tailored AI behavior
• ⌨️ Keyboard Shortcuts: Comprehensive hotkey support for efficient navigation and operations (rename, settings, reload, new chat, etc.)
• 📝 Chat Draft Saving: Automatically saves chat input drafts to prevent data loss
• 🔄 Auto-Update Mechanism: Automatically checks for and installs the latest application updates
• 🔐 MCP Server Authentication: Added support for MCP server authentication

  ⚠️ Note: This feature is currently unstable and may require frequent re-authorization

Recent updates(2025/11/27) - v0.11.0 🎉

• 🔐 OAuth Support for SSE: Added OAuth authentication support for MCP transport via Server-Sent Events (SSE)
• 📊 Token Usage Tracking: Display real-time token consumption information directly in chat interface
• ✨ UI/UX Enhancements: Improved user interface and experience with better interactions and visual feedback

Platform Availability

Migration Note: Existing local MCP/LLM configurations remain fully supported. OAP integration is additive and does not affect current workflows.

Download and Install ⬇️

Get the latest version of Dive: Download (https://img.shields.io/badge/Download-Latest%20Release-blue.svg)

Windows users: 🪟

Choose between two architectures:

• Tauri Version (Recommended): Smaller installer (<30MB), modern architecture
• Electron Version: Traditional architecture, fully stable
• Python and Node.js environments will be downloaded automatically after launching

MacOS users: 🍎

• Electron Version: Download the .dmg version
• You need to install Python and Node.js (with npx uvx) environments yourself
• Follow the installation prompts to complete setup

Linux users: 🐧

Choose between two architectures:

• Tauri Version (Recommended): Modern architecture with smaller installer size
• Electron Version: Traditional architecture with .AppImage format
• You need to install Python and Node.js (with npx uvx) environments yourself
• For Ubuntu/Debian users:
  • You may need to add --no-sandbox parameter
  • Or modify system settings to allow sandbox
  • Run chmod +x to make the AppImage executable
• For Arch users:
  • If you are using Arch Linux, you can install dive using an AUR helper (https://wiki.archlinux.org/title/AUR_helpers). For example: paru -S dive-ai

MCP Setup Options

For more detailed instructions, please see MCP Servers Setup.

The easiest way to get started! Access enterprise-grade MCP tools instantly:

1. Sign up at OAPHub.ai (https://oaphub.ai/)
2. Connect to Dive using one-click deep links or configuration files
3. Enjoy managed MCP servers with zero setup - no Python, Docker, or complex dependencies required

Benefits:

• ✅ Zero configuration needed
• ✅ Cross-platform compatibility
• ✅ Enterprise-grade reliability
• ✅ Automatic updates and maintenance

Build 🛠️

See BUILD.md for more details.

Contributing 🤝

We welcome contributions from the community! Here's how you can help:

Development Setup

1. Fork the repository
2. Clone your fork: git clone https://github.com/YOUR_USERNAME/Dive.git
3. Install dependencies: npm install
4. Start development: npm run dev (Electron) or cargo tauri dev (Tauri)
5. Make your changes and test thoroughly
6. Submit a pull request

License 📄

Dive is open-source software licensed under the MIT License.

Connect With Us 🌐

• 💬 Join our Discord (https://discord.gg/xaV7xzMYBA)
• 🐦 Follow us on Twitter/X (https://x.com/Dive_ai_agent) Reddit (https://www.reddit.com/user/BigGo_official/) Thread (https://www.threads.net/@dive_mcpserver)
• ⭐ Star us on GitHub
• 🐛 Report issues on our Issue Tracker (https://github.com/OpenAgentPlatform/Dive/issues)