Comparison
agentset vs DocsGPT
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 DocsGPT if docsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities.
Markdown twin · agentset alternatives · DocsGPT alternatives
GraphCanon updated 6d
Trust & integrity
| Signal | agentset | DocsGPT |
|---|---|---|
| Maintenance | Very active (6d since push) As of 1mo · github_public_v1 | Very active (0d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Organization account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- DocsGPT
- Private AI platform for agents, assistants and enterprise search.
Stars
- agentset
- 2.0k
- DocsGPT
- 18k
Forks
- agentset
- 183
- DocsGPT
- 2.1k
Open issues
- agentset
- 13
- DocsGPT
- 96
Language
- agentset
- TypeScript
- DocsGPT
- 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.
- DocsGPT
- DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities.
Persona
- agentset
- -
- DocsGPT
- -
Runtime
- agentset
- -
- DocsGPT
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- DocsGPT
- MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code.
Last pushed
- agentset
- Jul 16, 2026
- DocsGPT
- Aug 14, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- DocsGPT
- AI Agents, Data & Retrieval
Trust and health
Days since push
- agentset
- 6d
- DocsGPT
- 0d
Open issues (now)
- agentset
- 13
- DocsGPT
- 96
Stars delta
- agentset
- Unknown
- DocsGPT
- +223 (30d)
Open issues delta
- agentset
- Unknown
- DocsGPT
- +4 (30d)
OSV dependency advisories
- agentset
- No lockfile (source not queried)
- DocsGPT
- No published findings from this source as of 2026-07-11
Full report
- agentset
- Trust report
- DocsGPT
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; DocsGPT 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: 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 DocsGPT if…
- DocsGPT is primarily Python; agentset is TypeScript.
- Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based..
- Tags unique to DocsGPT: agent-builder, agents, ai, chatgpt.
- When you need to build custom AI agents with built-in agent builder capability
When NOT to use DocsGPT
- If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT
- When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI
- For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities
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 (arc53/DocsGPT) · observed Aug 15, 2026
- GitHub forks (arc53/DocsGPT) · observed Aug 15, 2026
- Last push (arc53/DocsGPT) · observed Aug 14, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.0k · DocsGPT 18k (synced Jul 22, 2026).
Common questions
- What is the difference between agentset and DocsGPT?
- agentset: The open-source RAG platform with built-in citations and support for deep research. DocsGPT: Private AI platform for agents, assistants and enterprise search.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over DocsGPT?
- Choose agentset over DocsGPT when agentset is primarily TypeScript; DocsGPT 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: 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 DocsGPT over agentset?
- Choose DocsGPT over agentset when DocsGPT is primarily Python; agentset is TypeScript; Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.; Tags unique to DocsGPT: agent-builder, agents, ai, chatgpt; When you need to build custom AI agents with built-in agent builder capability.
- 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 DocsGPT?
- If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities
- Is agentset or DocsGPT more popular on GitHub?
- DocsGPT has more GitHub stars (18,216 vs 2,035). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and DocsGPT open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, DocsGPT: MIT).
- Where can I find alternatives to agentset or DocsGPT?
- GraphCanon lists graph-backed alternatives at agentset alternatives and DocsGPT alternatives (agentset markdown twin, DocsGPT 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 DocsGPT?
- agentset: Very active. DocsGPT: Very 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 DocsGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; DocsGPT trust report.