*Equal contributions
VideoAgentTrek mines screen-recorded internet videos into labeled computer-use actions through inverse dynamics, creating web-scale supervision that improves agent pretraining without manual trajectory annotation.
CocoaBench evaluates unified digital agents on long-horizon tasks that require composing vision, search, and coding, showing that current systems remain far from reliable in the wild.
Computer Agent Arena is an open-source platform for head-to-head CUA evaluation and a dynamic methodology that converts human preferences into structured feedback in realistic environments.
OSWorld-Verified upgrades OSWorld with repaired tasks, more robust infrastructure, and public verified evaluation to provide more reliable signals for computer-use agent benchmarking.
OpenCUA releases an open framework for computer-use agents, including demonstration-capture infrastructure, AgentNet data, reasoning-augmented training pipelines, and competitive open-source CUA models.
Aguvis builds a unified vision-based GUI agent that operates directly on screenshots with a standardized action space and structured reasoning, achieving strong cross-platform autonomous computer-use performance.
AgentTrek turns web tutorials into verified multimodal GUI agent trajectories, providing a scalable and low-cost alternative to human annotation for training stronger web agents.