OSWorld-V2
An open-source AI benchmark that helps researchers and agent builders evaluate completion rates and reliability on 108 long-horizon real-world computer workflows.
Tool overview
OSWorld-V2 looks adoptable if you need to evaluate computer-using agents on realistic long-horizon workflows; it is not a ready-made automation product. It is not RPA software or a general chat assistant. A better analogy is an open-source benchmark and dataset hub for GUI/computer-use agents.
Based on the available evidence, its practical value is clear: it provides 108 real-world workflows for measuring how well models complete long computer tasks. Social posts also repeat that each workflow takes a skilled human about 1.6 hours, and one post cites a best-model completion rate of about 20.6%. That supports the benchmark’s difficulty and evaluation value, not a claim that current agents are already broadly usable. For research teams, model evaluators, and agent developers, the output is concrete: side-by-side comparisons, reproducible experiments, and measurable progress tracking.
On cost and effort, the evidence only supports a conservative view: because this is presented as an open-source evaluation project, adoption cost is likely in environment setup, compute, experiment execution, and manual analysis.