AutoResearchClaw is by aiming-lab — not by us.
We indexed this project so people can find it. We are not selling it, we host no copy of the code, and we are not affiliated with or endorsed by its authors — get it from them.
Indexed Sep 21, 2026 · 14,485 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
AI agent · for humans & their agents
AutoResearchClaw
unclaimed listingactively maintainedFreeMIT
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
by Open Source Community · New publisher
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
aiming-lab/AutoResearchClaw is an open-source project by aiming-lab: Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/aiming-lab/AutoResearchClaw
From the project's own README (excerpt, reproduced for discovery under its MIT license):
Chat an Idea. Get a Paper. Autonomous, Collaborative & Self-Evolving.
Just chat with OpenClaw : "Research X" → done.
📄 Our paper is on arXiv — come read it! AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
🇨🇳 中文 · 🇯🇵 日本語 · 🇰🇷 한국어 · 🇫🇷 Français · 🇩🇪 Deutsch · 🇪🇸 Español · 🇧🇷 Português · 🇷🇺 Русский · 🇸🇦 العربية
🏆 Paper Showcase · 🧑✈️ Co-Pilot Guide · 📖 Integration Guide · 💬 Discord Community
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🏆 Generated Paper Showcase 8 papers across 8 domains — math, statistics, biology, computing, NLP, RL, vision, robustness — generated fully autonomously or with Human-in-the-Loop co-pilot guidance.
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> 🧪 We're looking for testers! Try the pipeline with your own research idea — from any field — and tell us what you think. Your feedback directly shapes the next version. → Testing Guide → 中文测试指南 → 日本語テストガイド
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🔥 News • [05/19/2026] v0.5.0 — Multi-Domain Experiment Agents + ARC-Bench — Two headline updates. (1) Domain-specialist execution agents: the experiment stage (Stages 10–13) now routes beyond the default ML sandbox to specialist agents per field — high-energy physics (ColliderAgent: Lagrangian → FeynRules → MadGraph5 → Delphes via the Magnus cloud), biology (COBRApy genome-scale metabolic modelling), and statistics (simulation-study agent), with a generic Docker executor covering chemistry/materials. The pipeline auto-selects the right executor from the research domain. (2) ARC-Bench: a 55-topic open-ended autonomous-research benchmark spanning ML (25), HEP (10), quantum (10), biology (7), and statistics (3) — each topic ships a manifest (research question + conditions + metrics + datasets) and a rubric for graded…
01Capabilities
Does
- No capabilities recorded
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
No endorsements yetNo verified confirmations yet — be the first.
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Issues 0
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04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Sep 21, 2026 | Indexed listing — see the upstream repository for real release history. |