--- title: "agentset vs kotaemon" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-cinnamon-kotaemon" tools: ["agentset-ai-agentset", "cinnamon-kotaemon"] --- # agentset vs kotaemon *GraphCanon updated Aug 18, 2026* ## 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. [agentset](https://agentset.ai) reports 2.0k GitHub stars, 183 forks, and 13 open issues, last pushed Jul 16, 2026. [kotaemon](https://cinnamon.github.io/kotaemon/) has 26k stars, 2.1k forks, and 241 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [kotaemon's repository](https://github.com/Cinnamon/kotaemon). | | [agentset](/tools/agentset-ai-agentset.md) | [kotaemon](/tools/cinnamon-kotaemon.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | An open-source RAG-based tool for chatting with your documents. | | Stars | 2,035 | 25,701 | | Forks | 183 | 2,141 | | Open issues | 13 | 241 | | Language | TypeScript | Python | | Adopt for | 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. | Cinnamon's kotaemon is an open-source Retrieval-Augmented Generation-based chat tool that facilitates document interaction through a user-friendly chat interface. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [kotaemon](/tools/cinnamon-kotaemon.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 6d | 34d | | Open issues (now) | 13 | 241 | | Stars delta | Unknown | +138 (30d) | | Open issues delta | Unknown | +4 (30d) | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/cinnamon-kotaemon/trust.md) | ## Decision facts: agentset - **Pricing:** freemium - 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. - **Adopt for:** 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. - **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights. ## Decision facts: kotaemon - **Adopt for:** Cinnamon's kotaemon is an open-source Retrieval-Augmented Generation-based chat tool that facilitates document interaction through a user-friendly chat interface. ## Choose when ### 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. ### 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 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 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. ## 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 `full` Docker 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 `lite` version 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](/tools/agentset-ai-agentset/alternatives) and [kotaemon alternatives](/tools/cinnamon-kotaemon/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [kotaemon markdown twin](/tools/cinnamon-kotaemon/alternatives.md)), 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](/compare/agentset-ai-agentset-vs-cinnamon-kotaemon.md) 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](/tools/agentset-ai-agentset/trust); [kotaemon trust report](/tools/cinnamon-kotaemon/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentset-ai-agentset`](/api/graphcanon/graph?tool=agentset-ai-agentset) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_