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aiming-lab/AutoResearchClaw

autoresearchclaw aiming-lab/AutoResearchClaw is an MIT-licensed open-source fully autonomous, self-evolving, multi-agent research system where users chat an idea and the system plans, debates, retrieves, writes, self-reviews, and ships a paper, combines multi-agent debate, citation verification, ARC-Bench on Hugging Face, 2,699 pytest-passing tests, and a published paper on arXiv (2605.20025, 'Aut

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Score8.4
Popularity13534.0
Risklow
TierGold
Score breakdown
Usefulness8.8
Novelty10.0
Momentum10.0
Maturity9.1
Open-source/build7.4
Evidence7.2
Workflow potential9.1
Setup ease6.5

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Why it matters

Useful for AI researchers, R&D engineers, and graduate students who want a self-hostable autonomous-research workflow that turns a one-line chat into a citable paper instead of stitching notebooks by hand, because aiming-lab/AutoResearchClaw ships an MIT-licensed multi-agent system with multi-agent debate, citation verification, a self-reinforcing loop, ARC-Bench on Hugging Face, 2,699 pytest-pass

Who should use it

BuildersPower users

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

Risk label needs manual review.

Evidence links

Closest alternatives / related signals

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