Comparison
agentset vs gpt-researcher
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 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.
Markdown twin · agentset alternatives · gpt-researcher alternatives
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Trust & integrity
| Signal | agentset | gpt-researcher |
|---|---|---|
| Maintenance | Steady (36d since push) As of today · github_public_v1 | Active (21d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- gpt-researcher
- An autonomous agent that conducts deep research using LLM providers
Stars
- agentset
- 2.1k
- gpt-researcher
- 29k
Forks
- agentset
- 185
- gpt-researcher
- 3.9k
Open issues
- agentset
- 14
- gpt-researcher
- 192
Language
- agentset
- TypeScript
- gpt-researcher
- 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.
- 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.
Persona
- agentset
- -
- gpt-researcher
- -
Runtime
- agentset
- -
- gpt-researcher
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- gpt-researcher
- Apache-2.0
Last pushed
- agentset
- Jul 16, 2026
- gpt-researcher
- Jul 18, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- gpt-researcher
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- agentset
- Steady (60%)
- gpt-researcher
- Active (82%)
Days since push
- agentset
- 36d
- gpt-researcher
- 21d
Open issues (now)
- agentset
- 14
- gpt-researcher
- 192
Stars delta
- agentset
- +31 (30d)
- gpt-researcher
- +737 (30d)
Open issues delta
- agentset
- +1 (30d)
- gpt-researcher
- -18 (30d)
Owner type
- agentset
- Organization
- gpt-researcher
- User
OSV dependency advisories
- agentset
- No lockfile (source not queried)
- gpt-researcher
- Published findings
Full report
- agentset
- Trust report
- gpt-researcher
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; gpt-researcher is Python.
- License: agentset is MIT, gpt-researcher is Apache-2.0.
- 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: agentic-rag, ai-agents, embeddings, memory-management.
- - 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 gpt-researcher if…
- gpt-researcher is primarily Python; agentset is TypeScript.
- License: gpt-researcher is Apache-2.0, agentset 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.
- Tags unique to gpt-researcher: agent, ai, automation, deepresearch.
- 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.
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 Aug 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Aug 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (assafelovic/gpt-researcher) · observed Aug 8, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Aug 8, 2026
- Last push (assafelovic/gpt-researcher) · observed Jul 18, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.1k · gpt-researcher 29k (synced Aug 22, 2026).
Common questions
- What is the difference between agentset and gpt-researcher?
- agentset: The open-source RAG platform with built-in citations and support for deep research. gpt-researcher: An autonomous agent that conducts deep research using LLM providers. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over gpt-researcher?
- Choose agentset over gpt-researcher when agentset is primarily TypeScript; gpt-researcher is Python; License: agentset is MIT, gpt-researcher is Apache-2.0; 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: agentic-rag, ai-agents, embeddings, memory-management; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose gpt-researcher over agentset?
- Choose gpt-researcher over agentset when gpt-researcher is primarily Python; agentset is TypeScript; License: gpt-researcher is Apache-2.0, agentset 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; Tags unique to gpt-researcher: agent, ai, automation, deepresearch; 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 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 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.
- Is agentset or gpt-researcher more popular on GitHub?
- gpt-researcher has more GitHub stars (28,883 vs 2,066). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and gpt-researcher open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, gpt-researcher: Apache-2.0).
- Where can I find alternatives to agentset or gpt-researcher?
- GraphCanon lists graph-backed alternatives at agentset alternatives and gpt-researcher alternatives (agentset markdown twin, gpt-researcher 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 gpt-researcher?
- agentset: Steady. gpt-researcher: Active. 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 gpt-researcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; gpt-researcher trust report.