AutoResearchClaw

AutoResearchClaw is a fully autonomous research pipeline that generates complete academic papers from a simple research topic. Built by Aiming Lab, it takes a research idea and produces a full paper with real literature from arXiv and Semantic Scholar, hardware-aware sandbox experiments, statistical analysis, multi-agent peer review, and conference-ready LaTeX targeting NeurIPS, ICML, or ICLR. The 23-stage pipeline runs end-to-end without human intervention, with self-healing capabilities when experiments fail and autonomous pivoting when hypotheses do not hold. It integrates deeply with OpenClaw; just say Research your topic and OpenClaw handles the entire process automatically. Features include 4-layer citation verification to eliminate hallucinated references, hardware-aware code generation for GPU, MPS, or CPU, and a knowledge base that learns from each run.

Use this tool if you:
• Need to quickly generate academic papers from research ideas
• Want to automate literature review with real, verified citations
• Need to run reproducible experiments with hardware-aware code generation
• Want multi-agent peer review and quality checks on research outputs
• Need conference-ready LaTeX with proper formatting and references
• Want to integrate autonomous research into your OpenClaw workflow