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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI models to control a local Windows desktop by moving the cursor, clicking, scrolling, typing Unicode text, sending key chords, and capturing screenshots. Runs natively on Windows with minimal latency and no heavy dependencies such as Python, PyAutoGUI, or Docker.
      87 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to autonomously control Windows 11 and 10 desktops via sub-10ms screen capture, native UI Automation element inspection, and zero-lag keyboard and mouse input. Combines a visual plane with a semantic plane and stall detection so agents can operate real applications reliably without vision-only guessing.
      13 npm
      34 PyPI
      4
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      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.
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to automate real desktop applications across Windows, Linux, and macOS using incremental screen perception, accessibility trees, OCR, and window management, dramatically reducing token usage compared to screenshot-per-step approaches.
      39 PyPI
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to see, locate UI elements, and operate any Windows desktop app through natural language, using accessibility-tree matching with optional vision-model fallback, plus an autonomous visual loop with introspection and meta-learning.
      3
      MIT