Dive

Dive AI Agent

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

• 🌐 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 - 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

• 🛠️ Built-in Local Tools: Pre-configured tools available out of the box - Fetch (web requests), File Manager (read/write files), and Bash (command execution)
• 🤖 MCP Server Installer Agent: Intelligent agent that helps you install and configure MCP servers automatically
• 🔔 Multiple Elicitation Support: Handle multiple MCP elicitation requests simultaneously in the UI
• 📁 @ File Path Search: Extended @ keyword in chat input to search file paths

• 🛠️ Skills & Slash Commands: Support skills and more slash commands
• 🔍 Chat History Search: Support chat history search

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

Get the latest version of Dive:

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

• 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

Choose between two architectures:

• Tauri Version: Modern architecture with smaller installer size
• Electron Version (Recommended): 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. For example: paru -S dive-ai

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
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

See BUILD.md for more details.

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

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

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

• 💬 Join our Discord
• 🐦 Follow us on Twitter/X Reddit Thread
• ⭐ Star us on GitHub
• 🐛 Report issues on our Issue Tracker