OSWorld
HKU NLP + Salesforce's OSWorld — full-desktop agent benchmark with 369 tasks spanning real applications (LibreOffice, GIMP, Chrome, VS Code, Thunderbird, Files) across Ubuntu, Windows, and macOS. Tasks require multi-application workflows; evaluation via post-task state inspection (not just screenshot match). Released NeurIPS 2024.
At a glance
- Type
- Desktop OS agent benchmark — 369 tasks across Ubuntu / Windows / macOS
- Tier
- T3
- Section
- Memory benchmarks & evaluation
- Created
- 2024-04 (Xie et al. arXiv 2404.07972)
- Latest release
- not applicable — not OSS
- License
- Apache-2.0
- GitHub
- 1.7k★ Python
- Pricing
- not applicable — open benchmark; free to use
- Funding
- not applicable — not commercial
Taxonomy
- storage
- n/a
- retrieval
- n/a
- persistence
- n/a
- update
- read-only
- unit
- n/a
- governance
- n/a
- conflict
- n/a
When to use
Optimised for: not applicable - eval dataset, not a system
Anti-fit: not applicable - eval dataset, not a system
Pros & cons
Pros
Multi-OS (Linux + Windows + macOS) coverage unique among OS benchmarks; real apps; state-based evaluation more robust than screenshot match.
Cons
VM setup is heavyweight (gigabytes); SOTA still ~22% — long horizon to human parity; OSWorld game tasks (per spec) are not the focus — productivity apps dominate.
Claims & capabilities
NeurIPS 2024; 369 real-OS tasks across 3 operating systems; SOTA (Claude 3.5 Sonnet + Anthropic Computer Use) ~22% success
Technical surface
- API surface
- not applicable — eval dataset, not a system
- Backend storage
- not applicable — eval dataset, not a system
- Deployment
- not applicable — run locally
- Embedding model
- not applicable — eval dataset, not a system
- Multi-tenancy
- not applicable — eval dataset, not a system
- MCP
- not applicable — benchmark / evaluation harness
- A2A
- not applicable — benchmark / evaluation harness
- OpenTelemetry
- not applicable — benchmark / evaluation harness
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