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agent/papers/items/2026-2606-22557-macagentbench-benchmarking-ai-agents-on-real-world-macos-desktop.md
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2026-07-08 12:25:30 +08:00

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Paper: MacAgentBench: Benchmarking AI Agents on Real-World macOS Desktop


type: paper title: "MacAgentBench: Benchmarking AI Agents on Real-World macOS Desktop" authors: Yikun Fu, Bowen Fu, Zhenyu Wu, Shuang Cheng, Xiaowei Sun, Bowen Yang, Zehao Li, Yibo Zhao, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.22557 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-21 updated_at: 2026-06-21 status: queued relevance: high topics:

  • agent-evaluation
  • computer-use
  • planning
  • rag
  • tool-use
  • workflow-agent methods:

benchmarks:

models:

datasets:

  • cs.AI
  • cs.CL
  • cs.HC related_concepts:

collection_score: 21 collection_queries: agent-evaluation, ai-agent, web-gui-agent

One-line Takeaway

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

Why Collected

  • matched queries: agent-evaluation, ai-agent, web-gui-agent
  • inferred topics: agent-evaluation, computer-use, planning, rag, tool-use, workflow-agent
  • arXiv categories: cs.AI, cs.CL, cs.HC
  • 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?