--- title: "agentset vs edit-mind" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-iliashad-edit-mind" tools: ["agentset-ai-agentset", "iliashad-edit-mind"] --- # agentset vs edit-mind *GraphCanon updated Aug 22, 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 edit-mind if edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 185 forks, and 14 open issues, last pushed Jul 16, 2026. [edit-mind](https://edit-mind.com) has 1.8k stars, 121 forks, and 15 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [edit-mind's repository](https://github.com/IliasHad/edit-mind). | | [agentset](/tools/agentset-ai-agentset.md) | [edit-mind](/tools/iliashad-edit-mind.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search | | Stars | 2,066 | 1,764 | | Forks | 185 | 121 | | Open issues | 14 | 15 | | Language | TypeScript | TypeScript | | 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. | Edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | Utilizes a specific license named the Edit Mind License, which is documented in the LICENSE.md file. Further details on this licensing must refer to the repository documentation. | | Categories | AI Agents, Data & Retrieval | Computer Vision, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [edit-mind](/tools/iliashad-edit-mind.md) | | --- | --- | --- | | Days since push | 36d | 31d | | Open issues (now) | 14 | 15 | | Stars delta | +31 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/iliashad-edit-mind/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: edit-mind - **Requirements:** Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems. - **Adopt for:** Edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries. - **License detail:** Utilizes a specific license named the Edit Mind License, which is documented in the LICENSE.md file. Further details on this licensing must refer to the repository documentation. ## Choose when ### Choose agentset if… - License: agentset is MIT, edit-mind is Other. - 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 edit-mind if… - License: edit-mind is Other, agentset is MIT. - Requirements: Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems.. - Tags unique to edit-mind: ai, computer-vision, face-recognition, ml. - Also covers Computer Vision. - edit-mind ships Docker support for self-hosted deployment. - The environment requires self-hosted operations without dependence on external servers or APIs. ## 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 edit-mind - The use case requires cloud-based video services or collaborative tools across different locations which a self-hosted solution does not support. - If integration with an existing third-party AI infrastructure is necessary, edit-mind might fall short due to its independence and lack of out-of-the-box integrations. - This tool may not be suitable for users who prefer preconfigured solutions that do not require managing Docker environments or configuring media file sharing. ## Common questions ### What is the difference between agentset and edit-mind? agentset: The open-source RAG platform with built-in citations and support for deep research. edit-mind: Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over edit-mind? Choose agentset over edit-mind when License: agentset is MIT, edit-mind is Other; 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 edit-mind over agentset? Choose edit-mind over agentset when License: edit-mind is Other, agentset is MIT; Requirements: Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems.; Tags unique to edit-mind: ai, computer-vision, face-recognition, ml; Also covers Computer Vision; edit-mind ships Docker support for self-hosted deployment; The environment requires self-hosted operations without dependence on external servers or APIs. ### 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 edit-mind? The use case requires cloud-based video services or collaborative tools across different locations which a self-hosted solution does not support. If integration with an existing third-party AI infrastructure is necessary, edit-mind might fall short due to its independence and lack of out-of-the-box integrations. This tool may not be suitable for users who prefer preconfigured solutions that do not require managing Docker environments or configuring media file sharing. ### Is agentset or edit-mind more popular on GitHub? agentset has more GitHub stars (2,066 vs 1,764). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and edit-mind open source? Yes - both are open-source projects on GitHub (agentset: MIT, edit-mind: Other). ### Where can I find alternatives to agentset or edit-mind? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [edit-mind alternatives](/tools/iliashad-edit-mind/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [edit-mind markdown twin](/tools/iliashad-edit-mind/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-iliashad-edit-mind.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or edit-mind? agentset: Steady. edit-mind: 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 edit-mind? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [edit-mind trust report](/tools/iliashad-edit-mind/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/_