stanford-oval/storm
Some data may be outdated — see provenance labels.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. observed · 2026-09-29
Health v2 · maintenance only
32/100
- Activity 36
- Release rhythm 8
- Longevity 67
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 940
- days_rel: 635
- days_push: 385
- n_releases_24m: 1
Adoption not part of the score
31520 stars · 2970 forks observed · 2026-09-29
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
STORM is an LLM-powered system that researches a topic via internet search and generates full-length, cited, Wikipedia-like reports. It is distributed as the `knowledge-storm` Python package with a customizable pipeline for language models and retrieval backends.
Use cases
- generate a cited research report on any topic
- write wikipedia-style articles from scratch with llms
- deep research on a topic with citations
- collaborative knowledge curation with ai
- ground report generation on my own documents
- automate literature-style topic overviews
When to choose
- you need long-form, cited reports generated automatically from web research
- you want a customizable RAG pipeline supporting different LLMs and retrieval sources
- you want human-AI collaborative knowledge curation (Co-STORM)
When to avoid
- you need publication-ready articles without editing
- you need a simple single-prompt summarizer rather than a multi-stage research pipeline
- you lack API keys for LLMs and search engines
Facets
library · maturity active
rag llm-inference agent-framework search-engine nlp web-scraping large-language-models artificial-intelligence documentation python cli deep-research report-generation knowledge-curation wikipedia-style-articles citations co-storm litellm research retrieval-augmented-generation natural-language-processing ai-agents web-server
2 sources
- readme: https://github.com/stanford-oval/storm · fetched 2026-09-29 · 8b10abafaeab
- homepage: http://storm.genie.stanford.edu · fetched 2026-09-21 · caa1c9f3a7de
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| stanford-oval/storm | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="stanford-oval/storm")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem