概要
AutoResearchClaw は、マルチインテリジェントのコラボレーションを通じて、任意のアイデアから科学論文を生成する完全に自動化された研究パイプラインです。マルチインテリジェントのシナリオモデルをサポートし、複数の大きな言語モデルのバックエンドを統合し、引用検証、実験実行、分野専用のインテリジェントなどのツールを提供します。
README プレビュー
\n \n\n\nChat an Idea. Get a Paper. Autonomous, Collaborative & Self-Evolving.\n\n\n\n\n Just chat with OpenClaw: "Research X" → done.\n\n\n\n 📄 Our paper is on arXiv — come read it! AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration\n\n\n\n \n\n\n\n\n \n \n \n \n \n \n \n \n\n\n\n 🇨🇳 中文 ·\n 🇯🇵 日本語 ·\n 🇰🇷 한국어 ·\n 🇫🇷 Français ·\n 🇩🇪 Deutsch ·\n 🇪🇸 Español ·\n 🇧🇷 Português ·\n 🇷🇺 Русский ·\n 🇸🇦 العربية\n\n\n\n 🏆 Paper Showcase · 🧑✈️ Co-Pilot Guide · 📖 Integration Guide · 💬 Discord Community\n\n\n---\n\n\n\n\n\n\n\n🏆 Generated Paper Showcase\n8 papers across 8 domains — math, statistics, biology, computing, NLP, RL, vision, robustness — generated fully autonomously or with Human-in-the-Loop co-pilot guidance.\n\n\n\n\n\n---\n\n> **🧪 We're looking for testers!** Try the pipeline with your own research idea — from any field — and [tell us what you think](docs/TESTER_GUIDE.md). Your feedback directly shapes the next version. **[→ Testing Guide](docs/TESTER_GUIDE.md)** | **[→ 中文测试指南](docs/TESTER_GUIDE_CN.md)** | **[→ 日本語テストガイド](docs/TESTER_GUIDE_JA.md)**\n\n---\n\n## 🔥 News\n- **[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)