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cotomi Act agent learns to automate tasks by watching user behavior

By PulseAugur Editorial · [1 sources] ·

Researchers have developed cotomi Act, a browser agent designed to automate work by learning from user actions. The system achieves high task execution accuracy on the WebArena benchmark, surpassing a human baseline. It also incorporates a knowledge pipeline that abstracts user browsing behavior into editable artifacts like task boards and wikis, improving task success as knowledge accumulates. AI

IMPACT This agent could significantly streamline workflows by learning and automating repetitive tasks directly within a browser environment.

RANK_REASON This is a research paper detailing a new AI agent and its performance on a benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

cotomi Act agent learns to automate tasks by watching user behavior

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This is a research paper detailing a new AI agent and its performance on a benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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142 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Masafumi Oyamada, Kunihiro Takeoka, Kosuke Akimoto, Ryoma Obara, Masafumi Enomoto, Haochen Zhang, Daichi Haraguchi, Takuya Tamura ·

    cotomi Act: Learning to Automate Work by Watching You

    arXiv:2605.03231v1 Announce Type: new Abstract: What if a browser agent could learn your work simply by watching you do it? We present cotomi Act, a browser-based computer-using agent that combines reliable multi-step task execution with persistent organizational knowledge learne…

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