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opensource
STORM - An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

About opensource
STORM is an open source knowledge curation system that researches a topic using Internet search and generates a Wikipedia-like article with citations. It works in two stages: a pre-writing stage that collects references and generates an outline, and a writing stage that uses the outline and references to generate the article. Co-STORM adds a collaborative mode in which a person can observe the discourse or participate alongside LLM experts and a moderator.
The project states the system cannot produce publication-ready articles and that significant edits are often required. Experienced Wikipedia editors have found it useful for pre-writing research and exploration.
Key features
- Generates Wikipedia-like articles with citations from Internet search
- Builds outline from collected references before full article writing
- Discovers perspectives by surveying articles on similar topics
- Simulates writer-expert conversations to ask follow-up questions
- Supports grounding on user-provided documents via VectorRM
- Customizable language models and retrieval via pipeline API
- Produces outlines, references, and cited draft articles from Internet search
- Includes Co-STORM mode for human participation in the research discourse
- Provides Python package and pipeline API for different models and retrieval
- Cannot produce publication-ready articles; significant edits are often required
opensource at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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opensource FAQ
How does STORM create an article?
What is Co-STORM?
How can developers install STORM?
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