Dive AI Agent

An open-source desktop application for hosting MCP servers that integrates with function-calling LLMs.

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

Table of Contents

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 - 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
  • 🖥️ Command-Line Options: Support for language selection and other configurations via command-line arguments

Recent updates(2025/10/28) - v0.9.10 🎉

Latest Improvements

  • ⌨️ Hotkey Enhancements: Added new hotkeys for rename, open settings, and reload; fixed reload hotkey visibility
  • 💬 Chat Control: Fixed abort chat immediately functionality for better conversation control
  • 🛠️ Tool Management: Toggle individual tools separately without waiting for other tools to load
  • 📋 Tool Dropdown: Added convenient tool dropdown menu in chat input for quick tool selection
  • 🔍 Model List Filtering: Added provider filter for OpenRouter model list for easier model selection
  • 💾 Chat Draft Feature: Implemented automatic saving of chat input drafts to prevent data loss
  • 🔄 UI Improvements: Fixed dropdown scroll position recovery for better navigation experience
  • 📦 MCP Host Update: Bumped MCP host version for enhanced functionality and stability
  • 🏗️ CI Improvements: Disabled mss output in release builds for cleaner outputs
  • 🌐 Translation Fix: Updated translations for better localization
  • 🔧 Configuration Enhancements: Added support for OAP configuration from JSON files

Previous Updates (v0.9.9)

  • 🏪 Microsoft Store Support: Added Microsoft Store configuration and asset handling for Windows Store distribution
  • 🖼️ Image Caching Fix: Fixed issue with copying cached images in local storage
  • 🔧 Workflow Improvements: Updated GitHub release workflow for better automation
  • 📝 Settings Enhancements: Removed redundant setDefaultInstructions functionality
  • 🔄 OAP Server List Fix: Fixed duplicate page loading in OAP server list pagination
  • 🔧 Model Configuration Fixes: Fixed Anthropic model list in Tauri and corrected provider settings in advanced configuration
  • 📊 Improved Model Management: Added priority sorting for OAP models and sorted LLM models by creation time
  • 💾 Better Model Persistence: Enhanced model selection persistence across sessions and fixed auto-use of OAP models

Previous Major Changes (v0.9.5)

  • 🏗️ Dual Architecture Support: Both Electron and Tauri frameworks supported simultaneously
  • Tauri Version: Modern architecture with optimized installer size (Windows < 30MB)
  • 🌐 OAP Platform Integration: Native support for OAPHub.ai cloud services
  • 🔐 OAP Authentication: Comprehensive login and authentication support
  • 🛠️ Granular MCP Control: Individual tool enable/disable functionality
  • 🐧 Linux Tauri Support: Full Tauri framework support on Linux platforms

Platform Availability

  • Windows: Available in both Electron and Tauri versions ✅
  • macOS: Currently Electron only 🔜
  • Linux: Available in both Electron and Tauri versions ✅

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: 🪟

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. For example: paru -S dive-ai

MCP Setup Options

Dive offers two ways to access MCP tools: OAP Cloud Services (recommended for beginners) and Local MCP Servers (for advanced users).

Option 1: Local MCP Servers 🛠️

For advanced users who prefer local control. The system comes with a default echo MCP Server, and you can add more powerful tools like Fetch and Youtube-dl.

Set MCP

Option 2: OAP Cloud Services ☁️

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

Quick Local Setup

Add this JSON configuration to your Dive MCP settings to enable local tools:

 "mcpServers":{
    "fetch": {
      "command": "uvx",
      "args": [
        "mcp-server-fetch",
        "--ignore-robots-txt"
      ],
      "enabled": true
    },
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/files"
      ],
      "enabled": true
    },
    "youtubedl": {
      "command": "npx",
      "args": [
        "@kevinwatt/yt-dlp-mcp"
      ],
      "enabled": true
    }
  }

Using Streamable HTTP for Cloud MCP Services

You can connect to external cloud MCP servers via Streamable HTTP transport. Here's the Dive configuration example for SearXNG service from OAPHub:

{
  "mcpServers": {
    "SearXNG_MCP_Server": {
      "transport": "streamable",
      "url": "https://proxy.oaphub.ai/v1/mcp/181672830075666436",
      "headers": {
        "Authorization": "GLOBAL_CLIENT_TOKEN"
      }
    }
  }
}

Reference: @https://oaphub.ai/mcp/181672830075666436

Using SSE Server (Non-Local MCP)

You can also connect to external MCP servers (not local ones) via SSE (Server-Sent Events). Add this configuration to your Dive MCP settings:

{
  "mcpServers": {
    "MCP_SERVER_NAME": {
      "enabled": true,
      "transport": "sse",
      "url": "YOUR_SSE_SERVER_URL"
    }
  }
}

Additional Setup for yt-dlp-mcp

yt-dlp-mcp requires the yt-dlp package. Install it based on your operating system:

Windows

winget install yt-dlp

MacOS

brew install yt-dlp

Linux

pip install yt-dlp

Keyboard Shortcuts ⌨️

Dive provides comprehensive keyboard shortcuts for efficient workflow. Press ? or use the keyboard icon in the header to view all available shortcuts.

Common Shortcuts

ActionWindows/LinuxmacOS
New ChatCtrl+N⌘+N
Rename ChatCtrl+R⌘+R
Delete ChatCtrl+D⌘+D
Open SettingsCtrl+,⌘+,
Toggle SidebarCtrl+B⌘+B
Reload ApplicationCtrl+Shift+R⌘+⇧+R
Show Keyboard Shortcuts??

Note: You can view and customize keyboard shortcuts by pressing ? or clicking the keyboard icon in the application header.

Configuration ⚙️

LLM Configuration

Dive supports multiple LLM providers. Configure your API keys and models in the settings:

  1. Open Settings (Ctrl+, or ⌘+,)
  2. Navigate to LLM Configuration
  3. Add your API keys for desired providers
  4. Select your preferred model

Supported providers:

  • OpenAI (GPT-3.5, GPT-4, etc.)
  • Anthropic (Claude models)
  • Ollama (local models)
  • OpenRouter
  • AWS Bedrock
  • Mistral AI
  • Any OpenAI-compatible endpoints

MCP Configuration

MCP servers can be configured in two ways:

  1. Via UI: Navigate to Tools/MCP Manager in settings
  2. Via JSON: Edit the configuration file directly

Example configuration structure:

{
  "mcpServers": {
    "server-name": {
      "command": "npx",
      "args": ["-y", "mcp-server-name"],
      "enabled": true
    }
  }
}

Custom Instructions

Set custom system prompts in Settings > Custom Instructions to tailor AI behavior to your needs.

Language Settings

Dive supports 24+ languages. You can:

  • Change language in Settings > General > Language
  • Auto-detect based on system locale

Build 🛠️

See BUILD.md for more details.

Contributing 🤝

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

Ways to Contribute

  • 🐛 Report Bugs: Found a bug? Open an issue on our Issue Tracker
  • 💡 Suggest Features: Have ideas for new features? We'd love to hear them!
  • 🌍 Improve Translations: Help us translate Dive into more languages
  • 📝 Documentation: Help improve our documentation
  • 💻 Code Contributions: Submit pull requests with bug fixes or new features

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 npm run dev:tauri (Tauri)
  5. Make your changes and test thoroughly
  6. Submit a pull request

Code Standards

  • Follow the existing code style
  • Write clear commit messages
  • Add tests for new features
  • Update documentation as needed

License 📄

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

Copyright (c) 2025 Open Agent Platform

You are free to use, modify, and distribute this software. See the LICENSE file for full details.

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