Web & Desktop Agents

Web and desktop agents — AI systems that operate browsers and GUIs to complete real tasks — are benchmarked by WebArena, VisualWebArena, Mind2Web, and OSWorld. Current agents (GPT-4V + Playwright, Claude Computer Use) achieve 15-35% success on realistic web tasks, far below human performance. The core difficulty is grounding: mapping high-level instructions ("book a flight under $300") to pixel-level or DOM-level actions across unpredictable, dynamic interfaces. This is where multimodal understanding meets sequential decision-making, and progress here directly predicts when AI assistants can truly act on your behalf.

2
Datasets
0
Results
success-rate
Canonical metric
Canonical Benchmark

OSWorld

369 real computer tasks across Windows, macOS, and Ubuntu requiring GUI interaction. Tests agents operating full desktop apps like spreadsheets, image editors, and terminals. Much harder than web-only benchmarks.

Primary metric: success-rate
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Top 10

Leading models on OSWorld.

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All datasets

2 datasets tracked for this task.

Related tasks

Other tasks in Agentic AI.