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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to inspect and drive native Windows desktop applications (WinForms, WPF, WinUI 3, and WebView2 hybrids) through Microsoft UI Automation by capturing interactive control snapshots, then clicking, filling, and asserting on elements via ephemeral refs or semantic screen-map targets. Mutating actions are dry-run by default and gated behind explicit arming, allow-lists, and a kill switch for lawful, assisted QA testing.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to inspect and operate Windows applications through structured UI Automation maps, humanized mouse and keyboard input, and on-demand screenshots or OCR via MCP. It supports locating elements by role, name, or query; clicking, typing, scrolling, window management, event watching, and chained multi-step actions without relying on image analysis.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables an MCP host to observe and control Windows desktop applications deterministically: reading UIA control trees, OCR text and pixel diffs, clicking, typing, scrolling and window management, plus verbatim text reading/appending via ValuePattern/TextPattern. Visual judgment is delegated back to the host model's own multimodal context through annotated screenshots, numbered element cards, grid maps and crosshair zoom-ins, so no separate vision model is needed.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to inspect and drive Windows desktop applications text-first through the UI Automation tree, reading interactive elements and performing element-level actions (click, invoke, set value, type, drag, menu and window/app lifecycle) without relying on screenshots or coordinates. Actions are dry-run by default and pass an internal confirmation gate with snapshot binding and an audit log, while deterministic waits/verifications and an explicit screenshot or OCR fallback cover self-drawn surfaces.
      1
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to control Windows GUI by listing and focusing windows, capturing element snapshots via UIA/OCR/CDP, performing clicks/inputs/scrolls, verifying changes, waiting for screen updates, taking screenshots, and obtaining visual descriptions.
      2
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP-capable AI agents to control Windows desktops through UI Automation element trees, native screenshots, app launching, batched action sequences, smart waits, and safety gates using normalized coordinates.
      MIT