OSWORLD: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Humans completed 72.4% of tasks while the best evaluated agents completed less than 12.2%, exposing major grounding and operational-knowledge gaps in realistic computer use.

Impact: Strengthen executable-environment validation and bounded authority. Reject fluent planning as evidence of reliable computer action.

Boundary: Models and systems have advanced since the study, and benchmark success is not deployment safety. Next: what current, owning-system test is required before a computer-use capability receives write authority?

Flags: environment and model versions age quickly

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

Inspect original source

Recorded chart appearances

  • 2026-10-13: position 8. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 8. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence