Cua is an agent benchmarking and desktop automation platform designed to evaluate autonomous agents and execute repetitive tasks within isolated, virtualized environments. It provides a framework for provisioning consistent workspaces and measuring agent performance against standardized desktop operations.
The platform distinguishes itself by integrating virtual machine orchestration with headless interaction capabilities. By leveraging hypervisor-based virtualization, it runs operating systems at near-native speeds, while its automation layer injects commands directly into application processes to perform data extraction and form filling without requiring active window focus or physical input devices.
The system supports the full lifecycle of agent development, from infrastructure-as-code workspace provisioning to the collection of verified interaction logs. These logs enable the benchmarking of agent decision-making accuracy and the refinement of automated workflows through deterministic execution analysis.
