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.
A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.
Enables AI agents to control Windows GUI applications like a human using screen capture, OCR, mouse and keyboard input, and window management, with safety levels and memory.
Enables AI clients to see and control a Windows desktop through screenshots, built-in OCR, mouse and keyboard input, and accessibility trees read via UI Automation, MSAA and Chrome DevTools Protocol. It also manages windows, virtual desktops and element-level actions such as invoking controls or setting values, running on Node.js with the PowerShell that ships with Windows.