Comparison
gpt-researcher vs storm
Verdict
Pick gpt-researcher if gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill; 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.
Markdown twin · gpt-researcher alternatives · storm alternatives
GraphCanon updated Sep 20, 2026
13views this month
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Trust & integrity
| Signal | gpt-researcher | storm |
|---|---|---|
| Maintenance | Active (11d since push) As of Sep 8, 2026 · github_public_v1 | Slowing (352d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 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
- gpt-researcher
- An autonomous agent that conducts deep research using LLM providers
- storm
- An LLM-powered knowledge curation system for topic research and report generation
Stars
- gpt-researcher
- 29k
- storm
- 31k
Forks
- gpt-researcher
- 4.0k
- storm
- 3.0k
Open issues
- gpt-researcher
- 76
- storm
- 108
Language
- gpt-researcher
- Python
- storm
- Python
Adopt for
- gpt-researcher
- gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill.
- storm
- STORM is an LLM-powered knowledge curation system that automates topic research and report generation with citations, offering customization through its source code.
Persona
- gpt-researcher
- -
- storm
- -
Runtime
- gpt-researcher
- -
- storm
- -
License
- gpt-researcher
- Apache-2.0
- storm
- MIT
Last pushed
- gpt-researcher
- Aug 27, 2026
- storm
- Sep 30, 2025
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- storm
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- storm
- Slowing (36%)
Days since push
- gpt-researcher
- 11d
- storm
- 352d
Open issues (now)
- gpt-researcher
- 76
- storm
- 108
Stars delta
- gpt-researcher
- +460 (30d)
- storm
- +407 (30d)
Open issues delta
- gpt-researcher
- -116 (30d)
- storm
- 0 (30d)
Owner type
- gpt-researcher
- User
- storm
- Organization
OSV dependency advisories
- gpt-researcher
- Published findings
- storm
- No published findings from this source as of 2026-09-18
Full report
- gpt-researcher
- Trust report
- storm
- Trust report
Typed relationship
gpt-researcher alternative stormBoth GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic.
Shared compatibility
- Python · gpt-researcher: Python runtime · storm: Python runtime
Choose gpt-researcher if…
- License: gpt-researcher is Apache-2.0, storm is MIT.
- Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their.
- Both GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic.
- Tags unique to gpt-researcher: agent, ai, automation, deepresearch.
- Also covers AI Agents.
- gpt-researcher ships Docker support for self-hosted deployment.
- - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
When NOT to use gpt-researcher
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills.
- - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
Choose storm if…
- License: storm is MIT, gpt-researcher is Apache-2.0.
- Both GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic.
- Tags unique to storm: agentic-rag, deep-research, emnlp2024, knowledge-curation.
- Also covers LLM Frameworks.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (assafelovic/gpt-researcher) · observed Sep 20, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Sep 20, 2026
- Last push (assafelovic/gpt-researcher) · observed Aug 27, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: gpt-researcher 29k · storm 31k (synced Sep 20, 2026).
Common questions
- What is the difference between gpt-researcher and storm?
- gpt-researcher: An autonomous agent that conducts deep research using LLM providers. storm: An LLM-powered knowledge curation system for topic research and report generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt-researcher over storm?
- Choose gpt-researcher over storm when License: gpt-researcher is Apache-2.0, storm is MIT; Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their; Both GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic; Tags unique to gpt-researcher: agent, ai, automation, deepresearch; Also covers AI Agents; gpt-researcher ships Docker support for self-hosted deployment; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
- When should I choose storm over gpt-researcher?
- Choose storm over gpt-researcher when License: storm is MIT, gpt-researcher is Apache-2.0; Both GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic; Tags unique to storm: agentic-rag, deep-research, emnlp2024, knowledge-curation; Also covers LLM Frameworks; When you need a system that can generate comprehensive reports with citations using large language models.
- When should I avoid gpt-researcher?
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
- 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.
- Is gpt-researcher or storm more popular on GitHub?
- storm has more GitHub stars (31,433 vs 29,343). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-researcher and storm open source?
- Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, storm: MIT).
- Where can I find alternatives to gpt-researcher or storm?
- GraphCanon lists graph-backed alternatives at gpt-researcher alternatives and storm alternatives (gpt-researcher 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, gpt-researcher or storm?
- gpt-researcher: 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 gpt-researcher and storm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-researcher trust report; storm trust report.