Comparison
agentset vs kotaemon
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 kotaemon if cinnamon's kotaemon is an open-source Retrieval-Augmented Generation-based chat tool that facilitates document interaction through a user-friendly chat interface.
Markdown twin · agentset alternatives · kotaemon alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | agentset | kotaemon |
|---|---|---|
| Maintenance | Very active (6d since push) As of 4w · github_public_v1 | Steady (34d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 3d · 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
- kotaemon
- An open-source RAG-based tool for chatting with your documents.
Stars
- agentset
- 2.0k
- kotaemon
- 26k
Forks
- agentset
- 183
- kotaemon
- 2.1k
Open issues
- agentset
- 13
- kotaemon
- 241
Language
- agentset
- TypeScript
- kotaemon
- 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.
- kotaemon
- Cinnamon's kotaemon is an open-source Retrieval-Augmented Generation-based chat tool that facilitates document interaction through a user-friendly chat interface.
Persona
- agentset
- -
- kotaemon
- -
Runtime
- agentset
- -
- kotaemon
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- kotaemon
- Apache-2.0
Last pushed
- agentset
- Jul 16, 2026
- kotaemon
- Jul 14, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- kotaemon
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- agentset
- Very active (96%)
- kotaemon
- Steady (60%)
Days since push
- agentset
- 6d
- kotaemon
- 34d
Open issues (now)
- agentset
- 13
- kotaemon
- 241
Stars delta
- agentset
- Unknown
- kotaemon
- +138 (30d)
Open issues delta
- agentset
- Unknown
- kotaemon
- +4 (30d)
Full report
- agentset
- Trust report
- kotaemon
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; kotaemon is Python.
- License: agentset is MIT, kotaemon 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.
- 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 kotaemon if…
- kotaemon is primarily Python; agentset is TypeScript.
- License: kotaemon is Apache-2.0, agentset is MIT.
- Tags unique to kotaemon: chatbot, llms, open-source.
- Also covers Developer Tools.
- kotaemon ships Docker support for self-hosted deployment.
- When you need to customize the file types you can process beyond PDFs, HTML, MHTML, and XLSX by opting for the `full` Docker version which includes additional packages from 'unstructured'.
When NOT to use kotaemon
- If you only need to process a limited set of file types (PDF, HTML, MHTML, XLSX) and prefer the smaller Docker image size, as the `lite` version lacks additional package dependencies.
- In environments with strict constraints on external dependencies where installing Docker or Python packages is not feasible.
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 (Cinnamon/kotaemon) · observed Aug 18, 2026
- GitHub forks (Cinnamon/kotaemon) · observed Aug 18, 2026
- Last push (Cinnamon/kotaemon) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.0k · kotaemon 26k (synced Jul 22, 2026).
Common questions
- What is the difference between agentset and kotaemon?
- agentset: The open-source RAG platform with built-in citations and support for deep research. kotaemon: An open-source RAG-based tool for chatting with your documents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over kotaemon?
- Choose agentset over kotaemon when agentset is primarily TypeScript; kotaemon is Python; License: agentset is MIT, kotaemon 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; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose kotaemon over agentset?
- Choose kotaemon over agentset when kotaemon is primarily Python; agentset is TypeScript; License: kotaemon is Apache-2.0, agentset is MIT; Tags unique to kotaemon: chatbot, llms, open-source; Also covers Developer Tools; kotaemon ships Docker support for self-hosted deployment; When you need to customize the file types you can process beyond PDFs, HTML, MHTML, and XLSX by opting for the
fullDocker version which includes additional packages from 'unstructured'. - 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 kotaemon?
- If you only need to process a limited set of file types (PDF, HTML, MHTML, XLSX) and prefer the smaller Docker image size, as the
liteversion lacks additional package dependencies. In environments with strict constraints on external dependencies where installing Docker or Python packages is not feasible. - Is agentset or kotaemon more popular on GitHub?
- kotaemon has more GitHub stars (25,701 vs 2,035). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and kotaemon open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, kotaemon: Apache-2.0).
- Where can I find alternatives to agentset or kotaemon?
- GraphCanon lists graph-backed alternatives at agentset alternatives and kotaemon alternatives (agentset markdown twin, kotaemon 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 kotaemon?
- agentset: Very active. kotaemon: Steady. 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 kotaemon?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; kotaemon trust report.