S
storm
stanford-oval/storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
★30.8kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Agents category, core strengths: agentic-rag/deep-research
Who made it?Maintained by stanford-oval team, 30.8K⭐ on GitHub, #55 out of 2166 in Agents
Why does it exist?As the Agents landscape evolved, the stanford-oval team identified the need for better agentic-rag solutions. storm was created to simplify deep-research workflows.
What can it do?Key use cases: emnlp2024, knowledge-curation, large-language-models
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/stanford-oval/storm | 官网 http://storm.genie.stanford.edu
🔗 github.com/stanford-oval/storm | 官网 http://storm.genie.stanford.edu
Topics
agentic-ragdeep-researchemnlp2024knowledge-curationlarge-language-modelsnaaclnlpreport-generationretrieval-augmented-generation