computer-use-agents

Build AI agents for desktop automation by designing perception-reasoning-action loops that capture screens, interpret interfaces, and execute mouse or keyboard operations with continuous visual feedback.

Automate UI testing with vision models by applying visual perception to interpret graphical interfaces, plan actions, and execute controlled interactions within continuous feedback cycles.

Sandbox AI agents for computer use by applying isolation patterns using containers, restricted networks, scoped filesystems, and resource controls to ensure safer autonomous execution.

Automate browser workflows using visual perception by capturing screens and reasoning over interface layouts to plan and execute actions, bypassing the need for DOM selectors.

Containers are not strictly required but are highly recommended for autonomous desktop control agents to enforce security isolation, restrict network access, and scope filesystem permissions.

Vision-language reasoning for desktop automation adapts to changing interface layouts dynamically, whereas scripted macros break when graphical elements shift or update unexpectedly.