AutoResearchClaw

AutoResearchClaw is the "just press go" button for academic papers — and that should make you nervous and excited in equal measure. Feed it a research idea, and a 23-stage pipeline handles literature review (real papers from OpenAlex and arXiv), hypothesis generation, sandboxed experiments, statistical analysis, multi-agent peer review, and LaTeX output targeting NeurIPS/ICML. It even learns from past runs.

If you're an ML researcher prototyping ideas overnight, this is your unfair advantage. The anti-fabrication guards (NaN detection, citation relevance scoring) are a step above what you'd get cobbling together AutoGPT chains. Alternatives like Karpathy's original autoresearch pattern are lighter but manual. ARIS is markdown-only and less opinionated. No commercial tool does this end-to-end yet.

The catch: "fully autonomous research" is a bold claim. The papers need human review before submission — treating this as a first-draft accelerator, not a paper factory, is the right call. And the pipeline is complex enough that debugging failures takes real effort.