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    • 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.
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.
      5
      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.
      4
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Lets AI agents see and control desktop applications through the accessibility layer, enabling clicking, typing, scrolling, dragging, and window/app management across macOS, Windows, and Linux entirely on the local machine.
      6
      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.
      26 PyPI
      2
      MIT