Wow!! Can’t wait to give it a try with our research team.. even if not fully autonomous (we will love to have our validation) it can help automate many other repeatable tasks that researchers needed (and there are many of these)!
Holy shit...Someone built an AI system that takes a research idea and outputs a full academic paper. Real citations. Real experiments. Conference-ready LaTeX. Zero human input.
It's called AutoResearchClaw. And the pipeline is insane.
Here's what actually happens when you type one command:
It searches arXiv and Semantic Scholar for real papers. Not fake citations actual literature with 4-layer verification: arXiv ID check, CrossRef DOI lookup, Semantic Scholar title match, and LLM relevance scoring. Hallucinated references get killed automatically.
Then it designs and runs real experiments. Hardware-aware auto-detects whether you have NVIDIA CUDA, Apple MPS, or just CPU, and adapts the code accordingly. When experiments fail, it self-heals. When results don't support the hypothesis, it pivots to a new direction on its own.
Then it writes the paper. 5,000-6,500 words. Section by section. Multi-agent peer review with methodology-evidence consistency checks. Then it revises based on those reviews.
Then it outputs conference-ready LaTeX. NeurIPS, ICML, ICLR templates. Compile-ready for Overleaf. BibTeX references auto-pruned to match inline citations.
The whole thing runs across 23 stages and 8 phases. Three human-approval gates if you want them. Or just pass --auto-approve and walk away.
What you get back:
→ Full academic paper draft
→ Conference-ready LaTeX + BibTeX
→ Experiment code + sandbox results + charts
→ Peer review notes
→ Verification report on every citation
This is what autonomous scientific research actually looks like in 2026.
100% Opensource. MIT License.
Link in comments.