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.
Allows AI clients to see and control Windows 10/11 desktops via MCP, with screenshots, UI Automation, Chrome CDP, keyboard/mouse, and terminal using semantic element targeting.
Enables AI agents to drive native Windows apps and headed browsers inside a hidden child desktop session with its own screen, pointer and keyboard focus. Provides tools for screenshots, mouse/keyboard input, accessibility inspection, UI waits, display changes, Android emulators, application launches and cancellable command jobs, so the user's own desktop stays free.
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.
Enables AI assistants to drive Windows desktop automation — opening and interacting with applications, native UI controls, keyboard/mouse input, files, processes, clipboard, and Chrome/Edge browsing via UI Automation and CDP. All actions pass through a safety policy with human approval, emergency stop, and deterministic verification.