researchclaw

What problem does it solve?

AutoResearchClaw automates the full lifecycle of research-paper production—from topic scoping and literature discovery to hypothesis generation, experiments, and drafting—reducing manual toil and human error.

Core Features & Use Cases

• End-to-end automation: topic analysis, literature search, hypothesis generation, experiment design and execution, and manuscript drafting.
• Gate-based human approvals: control critical stages or enable seamless automated runs with an --auto-approve option.
• Multi-LLM and local execution: supports OpenAI, Anthropic, DeepSeek, Azure OpenAI, or local models, with Docker-based sandboxed runs and LaTeX PDF output.
• Practical use: researchers can topic-to-paper workflows for literature reviews, reproducible experiments, and conference-ready drafts.

Quick Start

Start by running /researchclaw:setup, then /researchclaw:config to create a working config.yaml, and finally /researchclaw:run with your topic to generate a conference-grade paper.