AutoResearchClaw automates full scientific cycle, outputs papers
AutoResearchClaw is an autonomous 23-stage research pipeline that transforms ideas into conference-ready LaTeX papers with verified experiments. Inspired by Andrej Karpathy's minimalist scripts, the tool uses multi-agent debate and self-healing executors to scale the "automated scientist" concept.
Autonomous research is graduating from toy scripts to robust, self-healing laboratories.
- –23-stage pipeline handles everything from literature review and hypothesis generation to figures and LaTeX output
- –Multi-agent debate loop forces agents to challenge each other's findings, significantly reducing hallucination risk
- –Self-healing executor runs experiments in Docker sandboxes to autonomously debug and refine problematic code
- –Four-layer citation verification checks all references against real databases to ensure paper integrity
- –v0.5.0 adds Multi-Domain Experiment Agents and ARC-Bench, expanding utility beyond machine learning
DISCOVERED
1h ago
2026-05-22
PUBLISHED
2h ago
2026-05-22
RELEVANCE
AUTHOR
AlphaSignalAI