STORM

STORM

STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) is a research agent from Stanford OVAL that turns any topic into a well-cited, Wikipedia-quality article. It uses a multi-agent perspective-guided research loop to gather diverse information before writing.

Key Features

• Perspective-driven research: Identifies multiple expert viewpoints and generates questions from each angle to ensure comprehensive coverage
• Multi-source retrieval: Searches the web (Bing, You.com, Tavily) and synthesizes information with citations
• Outline-first writing: Generates a structured outline before writing to ensure logical flow
• Co-STORM mode: Interactive, collaborative research session where a human and multiple AI agents research together in real time
• Any LLM backend: Works with GPT-4, Claude, Gemini, Llama, and local models via LiteLLM
• Citation grounding: Every claim in the output is linked to a source URL

Quick Start

pip install knowledge-storm

from knowledge_storm import STORMWikiRunnerArguments, STORMWikiRunner
from knowledge_storm.lm import OpenAIModel
from knowledge_storm.rm import YouRM

lm_configs = STORMWikiRunnerArguments(output_dir="./output")
runner = STORMWikiRunner(lm_configs, OpenAIModel("gpt-4o"), YouRM())
runner.run(
    topic="The impact of large language models on scientific research",
    do_research=True, do_generate_outline=True, do_generate_article=True
)

Add to ai-supply

npx ai-supply add storm-research-agent

Curated mirror of the open-source STORM (MIT). Get it from the source.