STORM
Research system that searches the web, writes an outline and drafts a Wikipedia-style article with citations; Co-STORM adds human collaboration.
Agent by Stanford OVAL
Chalk Labs
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Install
From the package registry. Read the repository before you give any tool access to your data.
pip install knowledge-storm
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About
Use cases: research, writing, deep-research, writing-editing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Jobs
- research, writingREADME
- Autonomy
- Autonomous: runs tasks end to end and reports backREADME
- Where you use it
- WebREADME
- Hosting
- Hosted or self-hostedREADME
- Models
- openai, litellmREADME
- Interfaces
- sdkREADME
- Open source
- YesREADME
Facts extracted by Claude Sonnet 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
Built on
Frameworks named in its dependency files.
- 0.753score
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HarnessAFreshness: A★ 148.4K↓ 37.3M/wk - 0.714score
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LangChain
JavaScript and TypeScript framework of interoperable components for building LLM apps and agents, with LangGraph.js and Deep Agents above it.
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Java library with one API over LLM providers and vector stores, plus tools, RAG and integrations for Quarkus and Spring Boot.
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LangChainGo
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Langchain.rb
Patterns AI
Ruby library for LLM-powered apps with a unified LLM interface, prompt tools, output parsers, RAG and assistants.
HarnessAFreshness: A★ 2K
Signals
- Stars
- 31,689
- Forks
- 2,990
- Open issues
- 62
- Weekly downloads
- 222
- Last commit
- Sep 30, 2025 (1 year ago)
- Last release
- Jan 23, 2025 (1 year ago)
- Last package publish
- Sep 29, 2025 (1 year ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
knowledge-storm - License
- MIT
- Repository
- github.com/stanford-oval/storm
- Website
- storm.genie.stanford.edu
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
STORM. Agent Mart. https://agentmart.dev/agents/storm (last updated 2026-10-24)