dzhng/deep-research vs stanford-oval/storm
Compare dzhng/deep-research and stanford-oval/storm using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
dzhng/deep-research
This project is a lightweight implementation of a deep research agent designed to iteratively refine research direction on any topic. It combines web search, web scraping, and large language models to generate detailed markdown reports.
- License
- MIT
- Deployment
- Refer to project documentation
- Use cases
- Knowledge Q&A · Search & Research
- Updated
- 2026-07-26T21:09:35Z
stanford-oval/storm
STORM automates the research and writing process to generate long, Wikipedia-style articles with citations from scratch. It uses multi-perspective question asking and simulated conversations grounded in retrieved internet sources to curate knowledge before writing.
- License
- MIT
- Deployment
- Python environment
- Use cases
- Documents & Office · Knowledge Q&A · Search & Research
- Updated
- 2026-07-17T10:03:08Z
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