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    Enables Large Language Models to automate macOS applications and execute AppleScript commands through natural language. It features built-in security protections including application allowlists and dangerous pattern detection to prevent unauthorized or risky system operations.
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    2
    MIT
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    Enables AI assistants to automate macOS through AppleScript and JXA by providing 44 tools for application management, window control, and UI interaction. It allows for comprehensive system control including screen capture, keyboard and mouse simulation, and system information retrieval.
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    MIT
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    An open-source MCP server for macOS and Windows that provides native desktop control via Accessibility APIs, OCR, and Chrome CDP. It enables AI agents to interact with applications, manage browser sessions, and automate workflows with high-speed native UI actions.
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    AGPL 3.0
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    Enables AI interaction with native macOS applications including Messages, Notes, Mail, Calendar, and Maps through natural language. It allows users to automate tasks like sending messages, managing contacts, and scheduling events across the Apple ecosystem.
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    MIT
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    Enables AI assistants to automate Android devices and Windows desktop applications through MaaFramework, supporting multi-device control, OCR text recognition, screen capture, clicking, swiping, text input, and Pipeline generation for reusable automation workflows.
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    370
    AGPL 3.0
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    Transforms AI assistants into expert Windows application packaging assistants for Microsoft Intune, enabling automated creation of deployment packages with PowerShell App Deployment Toolkit (PSADT) scripts, silent install arguments, and detection rules.
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    MIT
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    Enables AI assistants to automate Wayland desktop environments through screenshot analysis, mouse control, and keyboard input simulation. It supports visual context via VLM providers like Gemini and OpenRouter to perform complex, multi-step desktop actions.
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    GPL 3.0
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    SeekChat supports MCP tool execution, enabling AI to directly control your computer and perform various tasks. Easily automate file management, data analysis, code development, and more, turning AI into a truly intelligent assistant.
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    Apache 2.0
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    Enables AI assistants to automate macOS desktop tasks including mouse control, keyboard input, screenshots, window management, and UI interaction.
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    MIT
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    Enables AI coding agents to automate Windows desktop applications through semantic UI Automation instead of brittle coordinate clicks, with tools for discovering windows, finding controls by stable identifiers, and verifying actions.
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    MIT