Comparison
agentset vs storm
Verdict
Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick storm if storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Markdown twin · agentset alternatives · storm alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | agentset | storm |
|---|---|---|
| Maintenance | Very active (6d since push) As of 1mo · github_public_v1 | Slowing (320d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · 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
- agentset
- The open-source RAG platform with built-in citations and support for deep research
- storm
- An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Stars
- agentset
- 2.0k
- storm
- 31k
Forks
- agentset
- 183
- storm
- 2.9k
Open issues
- agentset
- 13
- storm
- 108
Language
- agentset
- TypeScript
- storm
- Python
Adopt for
- agentset
- AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management.
- storm
- Storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Persona
- agentset
- -
- storm
- -
Runtime
- agentset
- -
- storm
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- storm
- MIT
Last pushed
- agentset
- Jul 16, 2026
- storm
- Sep 30, 2025
Categories
- agentset
- AI Agents, Data & Retrieval
- storm
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- agentset
- Very active (96%)
- storm
- Slowing (36%)
Days since push
- agentset
- 6d
- storm
- 320d
Open issues (now)
- agentset
- 13
- storm
- 108
Stars delta
- agentset
- Unknown
- storm
- +895 (30d)
Open issues delta
- agentset
- Unknown
- storm
- -36 (30d)
Full report
- agentset
- Trust report
- storm
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; storm is Python.
- Pricing: Free to use as it is open-source..
- Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities..
- Tags unique to agentset: ai-agents, embeddings, memory-management, rag.
- Also covers AI Agents.
- - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
When NOT to use agentset
- - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases.
- - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.
Choose storm if…
- storm is primarily Python; agentset is TypeScript.
- Tags unique to storm: deep-research, knowledge-curation, large language models, report-generation.
- Also covers LLM Frameworks.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentset-ai/agentset) · observed Jul 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Jul 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Jul 22, 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: agentset 2.0k · storm 31k (synced Jul 22, 2026).
Common questions
- What is the difference between agentset and storm?
- agentset: The open-source RAG platform with built-in citations and support for deep research. 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 agentset over storm?
- Choose agentset over storm when agentset is primarily TypeScript; storm is Python; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: ai-agents, embeddings, memory-management, rag; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose storm over agentset?
- Choose storm over agentset when storm is primarily Python; agentset is TypeScript; Tags unique to storm: deep-research, knowledge-curation, large language models, report-generation; Also covers LLM Frameworks; When you need comprehensive reports that are heavily researched and reference a wide variety of sources.
- When should I avoid agentset?
- - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.
- 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 agentset or storm more popular on GitHub?
- storm has more GitHub stars (31,026 vs 2,035). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and storm open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, storm: MIT).
- Where can I find alternatives to agentset or storm?
- GraphCanon lists graph-backed alternatives at agentset alternatives and storm alternatives (agentset 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, agentset or storm?
- agentset: Very active. 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 agentset and storm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; storm trust report.