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研究Apr 2, 2026·2 min de lectura

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.

Introducción

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.

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Fuente y agradecimientos

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