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    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables AI assistants to automate macOS desktop tasks including mouse control, keyboard input, screenshots, window management, and UI interaction.
      9 npm
      415
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      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.
      44
      72 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.
      3
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      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.
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to control macOS applications through AppleScript and JavaScript for Automation, including arbitrary script execution and pre-built app command shortcuts. It also supports safe mode, command previews, search, and registry extension via JSON manifests.
      28
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.
      26
      340 npm
      MIT