MacPilot is a state-of-the-art macOS UI automation framework that combines native Apple technologies with GPT intelligence to enable human-like interaction with your Mac. Write instructions in plain English, and let MacPilot handle the automation.

• 🔄 Process Automation - Automate repetitive UI tasks
• 🧪 UI Testing - Test macOS applications
• 🤖 Desktop RPA - Build robotic process automation
• 🔍 Screen Analysis - Extract data from UI elements
• 🧭 Workflow Automation - Create complex UI workflows

• GPT Integration - Natural language instruction processing
• Vision Framework - Advanced UI element detection
• State Awareness - Real-time system state tracking
• Pattern Recognition - Learned UI interaction patterns
• Self-healing - Automated error recovery

• Apple Vision - Native OCR and element detection
• AppleScript - Deep OS integration
• Accessibility APIs - Comprehensive UI control
• Cocoa/AppKit - Native macOS frameworks
• Core Graphics - Low-level screen capture

• Async Architecture - Built on modern async Python
• Type Safety - Full Pydantic validation
• Actor System - Modular action execution
• State Management - Comprehensive UI state tracking
• Pattern System - Reusable interaction patterns

• Chrome Control - Deep browser automation
• Finder Operations - File system automation
• System Control - OS-level operations
• Menu Navigation - Application menu control
• Window Management - Window state control

graph TD
    A[Natural Language Instructions] --> B[GPT Analysis Layer]
    B --> C[Action Planning]
    C --> D[Actor System]
    D --> E[UI Interaction Layer]
    E --> F[State Management]
    F --> B

1. Instruction Processing - GPT-powered instruction analysis
2. State Management - UI state tracking and validation
3. Actor System - Modular action execution
4. Pattern System - Reusable interaction patterns
5. Vision System - UI element detection and OCR
6. Recovery System - Automated error handling

# Install from PyPI
pip install macpilot

# Or install from source
git clone https://github.com/adeelahmad/macpilot.git
cd macpilot
pip install -e .

from macpilot import MacPilot

async def main():
    pilot = MacPilot()

    # Simple automation
    await pilot.execute("Open Chrome and search for 'Python tutorials'")

    # Complex workflows
    await pilot.execute("""
        1. Find all PDFs in Downloads
        2. Create a folder named 'Documents'
        3. Move PDFs older than 30 days
        4. Create a summary spreadsheet
    """)

if __name__ == "__main__":
    asyncio.run(main())

from macpilot.patterns import register_pattern

@register_pattern("login_flow")
async def handle_login(username: str, password: str):
    return [
        {"action": "click", "target": "username_field"},
        {"action": "type", "text": username},
        {"action": "click", "target": "password_field"},
        {"action": "type", "text": password},
        {"action": "click", "target": "login_button"}
    ]

• User Interface

  • CLI tool for automation scripts
  • Web dashboard for monitoring
  • Visual workflow builder

• Core Features

  • Local LLM support
  • Improved error recovery
  • Performance optimizations

• Documentation

  • API reference
  • Pattern library
  • Example gallery

• Testing

  • Increase test coverage
  • Integration tests
  • Performance benchmarks

• Additional Features
  • Safari automation support
  • Network request monitoring
  • Advanced screen recording
  • Workflow marketplace

Contributions are welcome! Areas we're focusing on:

• 📝 Documentation improvements
• 🧪 Testing and bug fixes
• 🎯 New application actors
• 🔄 Pattern implementations
• 🐛 Performance optimizations

Check our Contributing Guide for details.

MacPilot is MIT licensed. See LICENSE for details.

• Apple for macOS APIs
• OpenAI for GPT models
• Python community