stanford-oval/storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
This project helps researchers, marketers, or anyone needing in-depth reports by automating the initial research and writing stages. You provide a topic, and it generates a comprehensive, Wikipedia-style article complete with citations, drawing information from internet searches or your own documents. The system acts as a research assistant, producing a solid first draft that significantly cuts down the time spent on background research and structuring.
28,001 stars. No commits in the last 6 months.
Use this if you need to quickly generate detailed, cited reports or articles on a given topic, speeding up your research and pre-writing workflow.
Not ideal if you need publication-ready articles without any human review or editing, as the output serves as a strong draft rather than a final product.
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28,001
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Language
Python
License
MIT
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Last pushed
Sep 30, 2025
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