Comparison
storm vs deep-searcher
Verdict
Pick storm if sTORM is an LLM-powered knowledge curation system that automates topic research and report generation with citations, offering customization through its source code; 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 Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | storm | deep-searcher |
|---|---|---|
| Maintenance | Slowing (352d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (272d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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 for topic research and report generation
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- storm
- 31k
- deep-searcher
- 8.1k
Forks
- storm
- 3.0k
- deep-searcher
- 775
Open issues
- storm
- 108
- deep-searcher
- 53
Language
- storm
- Python
- deep-searcher
- Python
Adopt for
- storm
- STORM is an LLM-powered knowledge curation system that automates topic research and report generation with citations, offering customization through its source code.
- 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
- 352d
- deep-searcher
- 272d
Open issues (now)
- storm
- 108
- deep-searcher
- 53
Stars delta
- storm
- +407 (30d)
- deep-searcher
- +59 (30d)
OSV dependency advisories
- storm
- No published findings from this source as of 2026-09-18
- deep-searcher
- No lockfile (source not queried)
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: emnlp2024, knowledge-curation, large-language-models, naacl.
- Also covers Data & Retrieval.
- When you need a system that can generate comprehensive reports with citations using large language models.
When NOT to use storm
- If you are looking for a tool that does not require API keys for its operation, as STORM suggests using API keys for certain functionalities.
- When you prefer a system that does not offer the option to modify its behavior through source code, as STORM provides this customization feature.
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 Sep 20, 2026
- GitHub forks (stanford-oval/storm) · observed Sep 20, 2026
- Last push (stanford-oval/storm) · observed Sep 30, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Sep 20, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Sep 20, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Sep 20, 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 Sep 20, 2026).
Common questions
- What is the difference between storm and deep-searcher?
- storm: An LLM-powered knowledge curation system for topic research and report generation. 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: emnlp2024, knowledge-curation, large-language-models, naacl; Also covers Data & Retrieval; When you need a system that can generate comprehensive reports with citations using large language models.
- 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?
- If you are looking for a tool that does not require API keys for its operation, as STORM suggests using API keys for certain functionalities. When you prefer a system that does not offer the option to modify its behavior through source code, as STORM provides this customization feature.
- 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 (31,433 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.