What is STORM — AI Research Report Generator by Stanford?

Stanford's LLM-powered system that researches any topic and writes a full Wikipedia-style article with citations. Simulates multi-perspective expert conversations.

Is STORM — AI Research Report Generator by Stanford free to use?

Yes. STORM — AI Research Report Generator by Stanford is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install STORM — AI Research Report Generator by Stanford?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

STORM — AI Research Report Generator by Stanford

from knowledge_storm import STORMWikiRunnerArguments, STORMWikiRunner, STORMWikiLMConfigs from knowledge_storm.lm import OpenAIModel # Configure LLMs lm_configs = STORMWikiLMConfigs() lm_configs.set_conv_simulator_lm(OpenAIModel(model="gpt-4o-mini")) lm_configs.set_article_gen_lm(OpenAIModel(model="gpt-4o")) # Configure and run args = STORMWikiRunnerArguments(output_dir="./results") runner = STORMWikiRunner(args, lm_configs) # Generate a research report runner.run( topic="Impact of large language models on scientific research", do_research=True, do_generate_outline=True, do_generate_article=True, do_polish_article=True, ) runner.post_run() # Saves article, outline, references

STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective question asking) is a research system by Stanford OVAL that writes Wikipedia-quality articles on any topic. It doesn't just summarize — it simulates conversations between multiple AI "experts" with different perspectives, then synthesizes their insights into a structured, cited article.

The process mirrors how human researchers work: discover perspectives, ask deep questions from each angle, gather sources, outline, write, and polish. Output includes a full article with inline citations, a reference list, and a conversation log showing the research process.

With 28,000+ stars, STORM is the leading open-source tool for AI-powered research synthesis.

How STORM Works

1. PERSPECTIVE DISCOVERY
   → Given topic "quantum computing applications"
   → Identifies 5-8 expert perspectives:
     - Physicist, Computer Scientist, Industry Analyst,
       Ethics Researcher, Quantum Engineer...

2. MULTI-PERSPECTIVE RESEARCH
   → Each "expert" asks questions from their angle
   → Questions are answered using web search (You.com, Bing)
   → Simulated conversations deepen understanding

3. OUTLINE GENERATION
   → Synthesizes all research into a structured outline
   → Identifies key sections, subsections, themes

4. ARTICLE WRITING
   → Writes each section using gathered evidence
   → Adds inline citations [1], [2], [3]
   → Maintains coherent narrative across sections

5. POLISH
   → Removes redundancy, improves flow
   → Verifies citation accuracy
   → Outputs final article + references

Output Structure

storm_gen_article.txt — Full article (2,000-5,000 words)
storm_gen_outline.txt — Structured outline
url_to_info.json — All source URLs with extracted content
conversation_log.json — Full simulated expert conversations

Supported LLM Backends

OpenAI (GPT-4o, GPT-4o-mini)
Anthropic (Claude)
Ollama (local models)
Any LiteLLM-compatible provider

Co-STORM: Collaborative Mode

Co-STORM lets you participate in the research process interactively. The AI researches while you steer the direction, ask follow-up questions, and refine the scope in real-time.

STORM — AI Research Report Generator by Stanford

Use it first, then decide how deep to go

How STORM Works

Output Structure

Supported LLM Backends

Co-STORM: Collaborative Mode

Source & Thanks

Discussion

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