MetaKeyAI

A powerful AI-enhanced productivity tool built with Electron and Python, featuring voice recording, clipboard management, and intelligent text processing.

📥 Download

Ready to try MetaKeyAI? Download the latest release for your platform:

Platform-Specific Downloads

Platform	Download	Notes
🪟 Windows	Download .exe	Run the installer
🍎 macOS	Download .zip	Extract and run
🐧 Linux	Download .AppImage	Make executable and run

Quick Start

1. Download the file for your platform
2. Install/extract and run the application
3. The app will automatically set up Python environment on first launch
4. Start voice recording and AI processing!

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🚀 Quick Start

Python Setup (Recommended)

MetaKeyAI can automatically set up Python using UV, a fast Python package manager. UV provides several advantages:

• Automatic Python Installation: UV can install and manage Python versions for you
• Fast Dependency Resolution: Significantly faster than pip
• Isolated Environments: Each project gets its own clean environment
• Cross-Platform: Works consistently on Windows, macOS, and Linux

Option 1: Auto Setup (Recommended)

1. Click "Auto Setup" in the Python settings
2. Choose "Install UV to User Config" to keep UV within MetaKeyAI's configuration
3. UV will automatically:
4. Install itself to your MetaKeyAI config directory
5. Install a compatible Python version (3.11)
6. Create an isolated project environment
7. Install all required dependencies (FastAPI, DSPy, etc.)

Option 2: Manual UV Installation

If you prefer to install UV system-wide:

# macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

# Alternative: Using pip
pip install uv

# Alternative: Using pipx
pipx install uv

Then use "Auto Setup" in MetaKeyAI settings.

Option 3: Custom Python

If you have an existing Python installation: 1. Click "Custom Python" 2. MetaKeyAI will auto-discover Python installations 3. Select your preferred Python and install missing dependencies

Features

• 🎤 Voice Recording: Record and transcribe voice using multiple audio backends
• 📋 Clipboard Management: Advanced clipboard history with navigation
• 🐍 Python Spells: Execute custom Python scripts with DSPy integration
• 🔄 Auto-Environment: Automatic Python environment management via UV
• 🌐 Cross-Platform: Works on Windows, macOS, and Linux

🛠️ Development

Setup

# Clone the repository
git clone <repository-url>
cd metakeyai

# Install Node.js dependencies
npm install

# Set up Python environment (automatic)
npm run setup:python

# Set up audio dependencies
npm run setup-audio

# Start development server
npm start

Build

# Build Python components
npm run build:python

# Build Electron app
npm run make

🏗️ Architecture

UV-Based Distribution

MetaKeyAI uses UV for Python dependency management:

• Development: uv run python src/python_scripts/metakeyai_daemon.py
• Production: uv run --project resources python src/python_scripts/metakeyai_daemon.py

Benefits of UV

• ⚡ Fast: 10-100x faster than pip
• 🔒 Reliable: Deterministic dependency resolution
• 🎯 Simple: Single tool for all Python needs
• 🌍 Cross-platform: Works identically on all systems

No More PyInstaller

We've eliminated PyInstaller in favor of UV's native execution:

• ✅ Smaller distribution size
• ✅ Faster builds
• ✅ Better debugging
• ✅ Easier maintenance

🔧 Configuration

Set environment variables for API keys:

export OPENAI_API_KEY="your-openai-api-key"
export METAKEYAI_LLM="gpt-4"  # Optional: specify model

📦 Distribution

The app automatically handles:

1. UV Installation: Prompts user to install UV if needed
2. Environment Setup: Creates isolated Python environment
3. Dependency Management: Installs all required packages
4. Runtime Execution: Runs Python components via UV

🎵 Audio Setup

The app supports multiple audio recording methods:

1. SoX (preferred)
2. FFmpeg (fallback)
3. PowerShell Speech (Windows fallback)

Audio dependencies are installed automatically via npm run setup-audio.

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

📄 License

[Your License Here]

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Powered by UV 🚀 - The next-generation Python package manager

Features

• Voice recording and audio processing
• Python integration with DSPy
• Cross-platform support (Windows, macOS, Linux)
• Real-time audio visualization
• AI spell system for text processing

Installation

1. Clone the repository
2. Install dependencies: npm install
3. Set up audio dependencies: npm run setup-audio
4. Build the Python environment: npm run build:python
5. Run the application: npm start

Audio Recording Setup

MetaKeyAI requires audio recording capabilities for voice input. See AUDIO_SETUP.md for detailed setup instructions.

Quick setup: npm run setup-audio

Python Environment

The application uses Python for AI processing. The build process automatically sets up a Python virtual environment with all required dependencies.

Development

Available Scripts

• npm start - Start the development server
• npm run make - Build the application for distribution
• npm run setup-audio - Set up audio recording dependencies
• npm run build:python - Build the Python environment
• npm test - Run tests (when available)

Project Structure

metakeyai/
├── src/                          # Main application source
│   ├── audio-recorder.ts         # Audio recording implementation
│   ├── python-daemon.ts          # Python integration
│   ├── python_scripts/           # Python AI scripts
│   │   ├── metakeyai_daemon.py   # Main Python server
│   │   └── spells/               # AI processing modules
│   └── types/                    # TypeScript definitions
├── resources/                    # Application resources
│   ├── binaries/                 # Platform-specific binaries
│   └── python/                   # Python distribution
├── scripts/                      # Build and setup scripts
└── .github/workflows/            # CI/CD configuration

Audio Recording

The application supports multiple audio recording methods with automatic fallback:

1. SoX (Recommended) - Cross-platform audio processing
2. FFmpeg - Universal multimedia framework
3. PowerShell - Windows-specific fallback
4. Native APIs - Platform-specific implementations (future)

Supported Platforms

Platform	SoX	FFmpeg	PowerShell	Status
Linux	✅	✅	❌	Stable
macOS	✅	✅	❌	Stable
Windows	✅	✅	✅	Stable

Troubleshooting

Common Issues

1. Audio recording not working: Run npm run setup-audio to install dependencies
2. Python environment issues: Run npm run build:python to rebuild
3. Permission errors: Ensure proper file permissions for binaries

For detailed troubleshooting, see AUDIO_SETUP.md.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test on your platform
5. Submit a pull request

Please ensure: - Audio functionality works on your platform - Python integration tests pass - Code follows the existing style

License

[Your License Here]

Support

For issues and questions: - Check AUDIO_SETUP.md for setup problems - Review GitHub Issues for known problems - Include platform details when reporting bugs

Python Setup Issues

UV Installation Fails: - Check internet connectivity - Try manual UV installation from UV docs - Use custom Python setup as fallback

Auto Setup Verification Fails: - Reset Python setup in settings - Try custom Python setup - Check if antivirus is blocking UV

Dependencies Missing: - Use the "Install Dependencies" button in custom Python setup - Manually install: pip install fastapi uvicorn pydantic dspy-ai - Reset and retry auto setup

General Issues

• Restart the application after Python setup changes
• Check the console logs for detailed error messages
• Reset configuration if settings become corrupted

Configuration

MetaKeyAI stores its configuration in: - Windows: %APPDATA%/metakeyai/ - macOS: ~/Library/Application Support/metakeyai/ - Linux: ~/.config/metakeyai/

This includes: - Python environment and dependencies - UV installation (if using user config option) - Keyboard shortcuts and settings - Spell configurations

Python Environment Details

When using auto-setup, MetaKeyAI creates a UV project structure:

<config-dir>/python-project/
├── pyproject.toml          # Project configuration
├── .python-version         # Python version specification
├── uv.lock                 # Locked dependencies (auto-generated)
├── README.md               # Environment documentation
├── .venv/                  # Virtual environment
└── src/                    # Python source code
    ├── metakeyai_daemon.py # Main daemon
    └── spells/             # Custom spells

The project uses modern Python packaging standards: - pyproject.toml for dependency specification - .python-version for Python version pinning - uv.lock for reproducible builds - Isolated virtual environment

Dependencies

Core Python dependencies managed by UV: - FastAPI: Web API framework for the Python daemon - Uvicorn: ASGI server for running the API - Pydantic: Data validation and settings management - DSPy: LLM integration and AI capabilities

Build Process

The application is built using Electron Forge and includes: - Automatic Python environment bundling - Cross-platform binary distribution - Python script packaging and deployment

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test with both auto and custom Python setups
5. Submit a pull request

For Python-related development: - Use the UV project in <config>/python-project/ - Add new spells to src/spells/ - Test with the integrated daemon API

Troubleshooting

Python Setup Issues

UV Installation Fails: - Check internet connectivity - Try manual UV installation from UV docs - Use custom Python setup as fallback

Auto Setup Verification Fails: - Reset Python setup in settings - Try custom Python setup - Check if antivirus is blocking UV

Dependencies Missing: - Use the "Install Dependencies" button in custom Python setup - Manually install: pip install fastapi uvicorn pydantic dspy-ai - Reset and retry auto setup

General Issues

• Restart the application after Python setup changes
• Check the console logs for detailed error messages
• Reset configuration if settings become corrupted

License

This project is licensed under the GNU General Public License v3.0 or later - see the LICENSE file for details.