Comparison
storm vs deep-searcher
Verdict
Pick storm if storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Markdown twin · storm alternatives · deep-searcher alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | storm | deep-searcher |
|---|---|---|
| Maintenance | Slowing (320d since push) As of 6d · github_public_v1 | Slowing (272d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- storm
- An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- storm
- 31k
- deep-searcher
- 8.1k
Forks
- storm
- 2.9k
- deep-searcher
- 775
Open issues
- storm
- 108
- deep-searcher
- 53
Language
- storm
- Python
- deep-searcher
- Python
Adopt for
- storm
- Storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
- deep-searcher
- DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Persona
- storm
- -
- deep-searcher
- -
Runtime
- storm
- -
- deep-searcher
- -
License
- storm
- MIT
- deep-searcher
- Apache-2.0
Last pushed
- storm
- Sep 30, 2025
- deep-searcher
- Nov 19, 2025
Categories
- storm
- Data & Retrieval, LLM Frameworks
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Days since push
- storm
- 320d
- deep-searcher
- 272d
Open issues (now)
- storm
- 108
- deep-searcher
- 53
Stars delta
- storm
- +895 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- storm
- -36 (30d)
- deep-searcher
- 0 (30d)
Full report
- storm
- Trust report
- deep-searcher
- Trust report
Typed relationship
storm alternative deep-searcherThese are both open-source deep research tools that aim to offer RAG capabilities, indicating they serve similar purposes with potentially varying functionalities.
Shared compatibility
- Python · storm: Python runtime · deep-searcher: Python runtime
Choose storm if…
- License: storm is MIT, deep-searcher is Apache-2.0.
- These are both open-source deep research tools that aim to offer RAG capabilities, indicating they serve similar purposes with potentially varying functionalities.
- Tags unique to storm: knowledge-curation, large language models, report-generation, retrieval-augmented-generation.
- Also covers Data & Retrieval.
- When you need comprehensive reports that are heavily researched and reference a wide variety of sources.
When NOT to use storm
- When real-time interaction or rapid iterative feedback loops are necessary, as Storm’s focus on thorough research might lead to longer processing times.
- In scenarios requiring manual curation and subjective analysis that goes beyond the capabilities of retrieval and generation mechanisms.
Choose deep-searcher if…
- License: deep-searcher is Apache-2.0, storm is MIT.
- These are both open-source deep research tools that aim to offer RAG capabilities, indicating they serve similar purposes with potentially varying functionalities.
- Tags unique to deep-searcher: agent, llm, vector-database.
- Also covers AI Agents, Vector Databases.
- deep-searcher ships Docker support for self-hosted deployment.
- When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
When NOT to use deep-searcher
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
- Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (stanford-oval/storm) · observed Aug 17, 2026
- GitHub forks (stanford-oval/storm) · observed Aug 17, 2026
- Last push (stanford-oval/storm) · observed Sep 30, 2025
- License file (MIT) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Aug 18, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Aug 18, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: storm 31k · deep-searcher 8.1k (synced Aug 17, 2026).
Common questions
- What is the difference between storm and deep-searcher?
- storm: An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose storm over deep-searcher?
- Choose storm over deep-searcher when License: storm is MIT, deep-searcher is Apache-2.0; These are both open-source deep research tools that aim to offer RAG capabilities, indicating they serve similar purposes with potentially varying functionalities; Tags unique to storm: knowledge-curation, large language models, report-generation, retrieval-augmented-generation; Also covers Data & Retrieval; When you need comprehensive reports that are heavily researched and reference a wide variety of sources.
- When should I choose deep-searcher over storm?
- Choose deep-searcher over storm when License: deep-searcher is Apache-2.0, storm is MIT; These are both open-source deep research tools that aim to offer RAG capabilities, indicating they serve similar purposes with potentially varying functionalities; Tags unique to deep-searcher: agent, llm, vector-database; Also covers AI Agents, Vector Databases; deep-searcher ships Docker support for self-hosted deployment; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
- When should I avoid storm?
- When real-time interaction or rapid iterative feedback loops are necessary, as Storm’s focus on thorough research might lead to longer processing times. In scenarios requiring manual curation and subjective analysis that goes beyond the capabilities of retrieval and generation mechanisms.
- When should I avoid deep-searcher?
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
- Is storm or deep-searcher more popular on GitHub?
- storm has more GitHub stars (31,026 vs 8,060). Stars measure visibility, not whether either tool fits your constraints.
- Are storm and deep-searcher open source?
- Yes - both are open-source projects on GitHub (storm: MIT, deep-searcher: Apache-2.0).
- Where can I find alternatives to storm or deep-searcher?
- GraphCanon lists graph-backed alternatives at storm alternatives and deep-searcher alternatives (storm markdown twin, deep-searcher markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, storm or deep-searcher?
- storm: Slowing. deep-searcher: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for storm and deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: storm trust report; deep-searcher trust report.