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Dive AI Agent 🀿 πŸ€–

Dive AI Agent 🀿 πŸ€–

github.com/openagentplatformDesktop Apps1.8kUpdated 13w ago

About Dive AI Agent 🀿 πŸ€–

Dive is an open-source MCP host desktop application that works with any LLM supporting function calling. It is aimed at users who want to use MCP tools in a local desktop environment, and is available in both Tauri and Electron versions.

Key features

  1. 01Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models
  2. 02MCP connections over stdio and SSE modes
  3. 03Per-tool enable and disable controls
  4. 04Built-in Fetch, File Manager and Bash local tools
  5. 05MCP server authentication and multiple API key switching
  6. 06Chat history search and automatic draft saving

Use cases

  1. 01Using different LLMs with one shared set of MCP tools on desktop
  2. 02Installing and configuring MCP servers with an installer agent
  3. 03Managing file access and command execution tools locally

MCP support

Dive runs as an MCP client, connecting to MCP servers over stdio or SSE and letting users toggle individual tools in the interface.

Details

From the project README
Dive

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
  • πŸ’» Cross-Platform: Available for Windows, MacOS, and Linux
  • πŸ”„ 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
  • πŸ—οΈ 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
  • βš™οΈ Advanced API Management: Multiple API keys and model switching support with model_settings.json
  • πŸ› οΈ Granular Tool Control: Enable/disable individual MCP tools for precise customization
  • πŸ’‘ 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.)
  • πŸ“ Chat Draft Saving: Automatically saves chat input drafts to prevent data loss
  • πŸ”„ Auto-Update Mechanism: Automatically checks for and installs the latest application updates
  • πŸ” MCP Server Authentication: Added support for MCP server authentication

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

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

Recent updates(2026/02/26) - v0.14.0+ πŸŽ‰

  • πŸ› οΈ Skills & Slash Commands: Support skills and more slash commands
  • πŸ” Chat History Search: Support chat history search
Platform Availability
PlatformElectronTauri
Windowsβœ…βœ…
macOSβœ…πŸ”œ
Linuxβœ…βœ…

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

Windows users: πŸͺŸ

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: 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

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
  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:

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

Build πŸ› οΈ

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 πŸ“„

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

Connect With Us 🌐

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.