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stanford-oval/storm

An LLM-powered knowledge curation system for topic research and report generation

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

72views this month

31k stars3.0k forksLast push Sep 30, 2025 Python MIT

Decision brief

STORM is an LLM-powered knowledge curation system that automates topic research and report generation with citations, offering customization through its source code.

Good fit when

  • When you need a system that can generate comprehensive reports with citations using large language models.
  • If you require the flexibility to customize the system's behavior directly through its source code.

Avoid when

  • If you are looking for a tool that does not require API keys for its operation, as STORM suggests using API keys for certain functionalities.
  • When you prefer a system that does not offer the option to modify its behavior through source code, as STORM provides this customization feature.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Slowing (352d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
No criticals
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install storm
PyPI

How it fits your stack(9)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

STORM is a system that leverages large language models to research a given topic and produce comprehensive reports with citations. It supports customization through its source code and uses different models for various components to balance cost and quality.

Capability facts

Languages
python

Source: github.language · Sep 18, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

conda create -n storm python=3.11
Source link

Tags

README

Installation To install the knowledge storm library, use . You could also install the source code which allows you to modify the behavior of STORM engine directly. 1. Clone the git repository. 2. Install the required packages. STORM is a LM system so different components can be p...

For agents

This page has a .md twin and JSON over the API.

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