🔮STORM
stanford-oval/storm · homepage ↗
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
⭐ Very popular: 31k stars, gaining about 177 a week
View on GitHub ↗repo profile
momentum
durability
since we covered it
why it's a big deal
- End-to-end pipeline for grounded, citation-rich article generation.
- Human-AI collaboration through turn-based discourse and mind mapping.
- Built for transparency and modular customization in Python.
under the hood
- Modular design using dspy, with pluggable LMs and retrievers via litellm.
- Easy setup with pip or conda, CLI examples included.
- Supports VectorRM, BingSearch, and other retrieval sources.
our take from PR#12, 2025-07-09
star history
- PR#12 26k 2025-07-09
- now 31k + 5k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Better known than its recent output, coasting a little on attention.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
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LLM-Powered Research & Knowledge Curation Engine
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