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agent/papers/items/2026-2606-29537-osworld2-0-benchmarking-computer-use-agents-on-long-horizon-real-world-tasks.md
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Paper: OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks


type: paper title: "OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks" authors: Mengqi Yuan, Zilong Zhou, Xinzhuang Xiong, Weiming Wu, Jiayang Sun, Jiamin Song, Kaiqian Cui, Bowen Wang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.29537 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-28 updated_at: 2026-06-28 status: queued relevance: high topics:

  • agent-evaluation
  • agent-safety
  • coding-agent
  • computer-use
  • memory
  • planning
  • rag
  • reasoning
  • tool-use
  • workflow-agent methods:

benchmarks:

models:

datasets:

  • cs.AI related_concepts:

collection_score: 21 collection_queries: web-gui-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

  • matched queries: web-gui-agent
  • inferred topics: agent-evaluation, agent-safety, coding-agent, computer-use, memory, planning, rag, reasoning, tool-use, workflow-agent
  • arXiv categories: cs.AI
  • collection score: 21

Review Checklist

  • Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
  • Does it include a benchmark, dataset, code, or reproducible experimental setup?
  • Should it be promoted from queued to skimmed or summarized?