Comparison
knowledge-gpt vs storm
Verdict
Pick knowledge-gpt if knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers; pick storm if storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Markdown twin · knowledge-gpt alternatives · storm alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | knowledge-gpt | storm |
|---|---|---|
| Maintenance | Dormant (1185d since push) As of 4w · github_public_v1 | Slowing (320d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 4d · 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
- knowledge-gpt
- Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.
- storm
- An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Stars
- knowledge-gpt
- 291
- storm
- 31k
Forks
- knowledge-gpt
- 52
- storm
- 2.9k
Open issues
- knowledge-gpt
- 8
- storm
- 108
Language
- knowledge-gpt
- Python
- storm
- Python
Adopt for
- knowledge-gpt
- knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers.
- storm
- Storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Persona
- knowledge-gpt
- -
- storm
- -
Runtime
- knowledge-gpt
- -
- storm
- -
License
- knowledge-gpt
- MIT
- storm
- MIT
Last pushed
- knowledge-gpt
- Apr 25, 2023
- storm
- Sep 30, 2025
Categories
- knowledge-gpt
- Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training
- storm
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- knowledge-gpt
- Dormant (18%)
- storm
- Slowing (36%)
Days since push
- knowledge-gpt
- 1185d
- storm
- 320d
Open issues (now)
- knowledge-gpt
- 8
- storm
- 108
Stars delta
- knowledge-gpt
- Unknown
- storm
- +895 (30d)
Open issues delta
- knowledge-gpt
- Unknown
- storm
- -36 (30d)
Full report
- knowledge-gpt
- Trust report
- storm
- Trust report
Shared compatibility
- Python · knowledge-gpt: Python runtime · storm: Python runtime
Choose knowledge-gpt if…
- Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers.
- Also covers Evaluation & Observability, Model Training.
- knowledge-gpt ships Docker support for self-hosted deployment.
- When you need a flexible, model-agnostic approach for Q&A over diverse data sources
When NOT to use knowledge-gpt
- Avoid if strictly needing real-time response performance without indexing capabilities
- Not recommended if focusing solely on visual or multimedia content extraction
Choose storm if…
- Tags unique to storm: agentic-rag, deep-research, knowledge-curation, large language models.
- When you need comprehensive reports that are heavily researched and reference a wide variety of sources.
- More GitHub stars (31k vs 291) - visibility, not fit.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (geeks-of-data/knowledge-gpt) · observed Jul 24, 2026
- GitHub forks (geeks-of-data/knowledge-gpt) · observed Jul 24, 2026
- Last push (geeks-of-data/knowledge-gpt) · observed Apr 25, 2023
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: knowledge-gpt 291 · storm 31k (synced Jul 24, 2026).
Common questions
- What is the difference between knowledge-gpt and storm?
- knowledge-gpt: Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.. storm: An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.. See the comparison table for live GitHub stats and shared categories.
- When should I choose knowledge-gpt over storm?
- Choose knowledge-gpt over storm when Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers; Also covers Evaluation & Observability, Model Training; knowledge-gpt ships Docker support for self-hosted deployment; When you need a flexible, model-agnostic approach for Q&A over diverse data sources.
- When should I choose storm over knowledge-gpt?
- Choose storm over knowledge-gpt when Tags unique to storm: agentic-rag, deep-research, knowledge-curation, large language models; When you need comprehensive reports that are heavily researched and reference a wide variety of sources; More GitHub stars (31k vs 291) - visibility, not fit.
- When should I avoid knowledge-gpt?
- Avoid if strictly needing real-time response performance without indexing capabilities Not recommended if focusing solely on visual or multimedia content extraction
- 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.
- Is knowledge-gpt or storm more popular on GitHub?
- storm has more GitHub stars (31,026 vs 291). Stars measure visibility, not whether either tool fits your constraints.
- Are knowledge-gpt and storm open source?
- Yes - both are open-source projects on GitHub (knowledge-gpt: MIT, storm: MIT).
- Where can I find alternatives to knowledge-gpt or storm?
- GraphCanon lists graph-backed alternatives at knowledge-gpt alternatives and storm alternatives (knowledge-gpt markdown twin, storm 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, knowledge-gpt or storm?
- knowledge-gpt: Dormant. storm: 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 knowledge-gpt and storm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: knowledge-gpt trust report; storm trust report.