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  • A
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    An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.
    2
    15
    Apache 2.0
  • A
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    Not graded
    quality
    D
    maintenance
    A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
    70 PyPI
    35
    MIT
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    C
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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
    1
    MIT
  • A
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    B
    maintenance
    Enables AI agents to select Windows desktop UI elements, windows, or screen regions via mouse hover, then obtain context through UI Automation, screenshots, and local OCR for MCP-compatible clients.
    2
    MIT
  • A
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    B
    maintenance
    MCP server for AI agents to control a Mac via screen and mouse/keyboard, supporting Anthropic Claude and OpenAI for task automation.
    236 npm
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.
    2
    28
    6
    Apache 2.0
  • A
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    A
    quality
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    Enables an agent to see and operate a GNOME Wayland desktop like a human, including screenshots, mouse/keyboard control, accessibility tree access, OCR, clipboard, and audio listening.
    13
    MIT
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    license
    B
    quality
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    Exposes Anthropic's computer-use action surface (screenshot, click, move, keyboard, clipboard, batch) against a persistent desktop display via MCP stdio protocol. Enables AI agents to control a virtual desktop environment through natural language instructions.
    24
    MIT
  • A
    license
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    quality
    C
    maintenance
    A framework-agnostic computer-use MCP server that exposes core desktop operations (screen capture, mouse, keyboard, and file access) as standard MCP tools, enabling any MCP-compatible agent to drive a computer.
    379 npm
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Enables Windows desktop automation via MCP, allowing AI agents to control mouse, keyboard, and screen capture with the same interface as Anthropic's computer-use tool.
    250 PyPI
    4
    MIT
  • A
    license
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    quality
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    maintenance
    Enables MCP-speaking clients to control a real desktop via the computer_use tool, including clicking, typing, scrolling, dragging, key combos, app focus, and screen/accessibility capture. It also provides a verdict system that verifies whether input actions had their intended effect, with configurable approval modes.
    1
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    This server enables AI agents to operate Windows and Linux computers by observing the screen, understanding the UI through accessibility, OCR, and vision, and performing mouse, keyboard, window, clipboard, and system actions with verification and recovery.
    29
    MIT
  • A
    license
    C
    quality
    C
    maintenance
    Enables agent-native desktop control by driving mouse, keyboard, and interface elements through accessibility-first semantic operations, with fallback to screen coordinates when accessibility cannot reach a target.
    30
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Enables MCP clients to inspect and control an Omarchy/Hyprland desktop by taking screenshots, focusing windows, moving/clicking the mouse, scrolling, typing text, and sending keyboard shortcuts.
    MIT