STORM (Stanford)
Open Source(MIT)
Best for academic research
Open source
LLM-powered reports
Knowledge curation
Developer-focused
Get a Wikipedia-like report on your topic with AI
Workflow
Research
GPT-4
OPEN_SOURCE
ADVANCED Complexity
HYBRID
Last updated: Apr 15, 2026
storm.genie.stanford.edu
Quick Answer
STORM (Stanford) is an open-source, LLM-powered research prototype that generates Wikipedia-like reports with citations for any given topic. It supports interactive knowledge curation and deep research. Best for academics and researchers needing comprehensive, cited reports. Free and open source.
Decision Intelligence
Best For
Generating comprehensive reports for researchers
Interactive knowledge curation for academic purposes
Deep research on specific topics
Not Ideal For
Generating sensitive or critical information without human verification
Commercial use requiring high safety standards
Tasks requiring real-time, unverified factual accuracy
Fit Score
Complexity
ADVANCED
Company Size
SOLO
SMALL
MEDIUM
ENTERPRISE
Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Skill Level
EXPERT
About STORM (Stanford)
STORM is a research prototype from Stanford University that supports interactive knowledge curation. It generates Wikipedia-like reports with citations by researching a given topic. This LLM-powered system is designed for deep research and report generation, available for free as an open-source project.
What Makes STORM (Stanford) Unique
STORM is a research prototype focused on interactive knowledge curation, generating full-length, Wikipedia-like reports with citations, distinguishing it from general-purpose LLMs.
Capabilities
Interactive knowledge curation
Generates full-length reports
Includes citations in reports
LLM-powered research
Deep topic research
Retrieval-augmented generation (RAG)
Pros
- +Generates Wikipedia-like reports with citations
- +Open-source and free to use
- +Supports interactive knowledge curation
- +Backed by Stanford University research
Limitations
- -Limited safety measures
- -May generate offensive content
- -Generated reports can make mistakes
- -Requires agreement to terms of service for data collection
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality7/10
Value for Money10/10
Customization7/10
Support7/10
Integration1/10
Task Scores
Literature Search
8
Paper Summarization
8
Knowledge Synthesis
8
Citation Management
7
Data Extraction
7
Cross Reference
7
Hypothesis Generation
5
Methodology Guidance
4
Trust Score
40/100
Limited Data
Based on 4 verified signals
Trust Signals
Verified CompanyStanford University
User Base10K-100K
FundingBootstrapped
Data Residency
Switching & Migration
Migration Difficulty
Moderate Effort
Data portable as:
PDF
Community support via GitHub issues
Quick Stats
Agent TypeWorkflow
Memoryshort term
Planningadvanced
CategoryResearch
PlatformsWEB, CLI
Views1
Reviews0
LaunchedJan 2024
Status
active
Company & Links