--- title: "VideoRAG vs edit-mind" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-videorag-vs-iliashad-edit-mind" tools: ["hkuds-videorag", "iliashad-edit-mind"] --- # VideoRAG vs edit-mind *GraphCanon updated Sep 22, 2026* ## Verdict Pick VideoRAG if videoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike; 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. [VideoRAG](https://arxiv.org/abs/2502.01549) reports 3.3k GitHub stars, 467 forks, and 21 open issues, last pushed Mar 18, 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 [VideoRAG's repository](https://github.com/HKUDS/VideoRAG) and [edit-mind's repository](https://github.com/IliasHad/edit-mind). | | [VideoRAG](/tools/hkuds-videorag.md) | [edit-mind](/tools/iliashad-edit-mind.md) | | --- | --- | --- | | Tagline | Chat with Your Videos | Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search | | Stars | 3,288 | 1,805 | | Forks | 467 | 121 | | Open issues | 21 | 15 | | Language | Python | TypeScript | | Adopt for | VideoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike. | 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 | Other | 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 | Data & Retrieval, Model Training | Computer Vision, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [VideoRAG](/tools/hkuds-videorag.md) | [edit-mind](/tools/iliashad-edit-mind.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 152d | 83d | | Open issues (now) | 21 | 15 | | Stars delta | +104 (30d) | +41 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/hkuds-videorag/trust.md) | [trust report](/tools/iliashad-edit-mind/trust.md) | ## Decision facts: VideoRAG - **Adopt for:** VideoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike. ## 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 VideoRAG if… - VideoRAG is primarily Python; edit-mind is TypeScript. - Tags unique to VideoRAG: large-language-models, llms, long-video-understanding, multi-modal-llms. - Also covers Model Training. - You have long videos (up to hundreds of hours) and need precise analysis or summaries that require deep understanding of both audio and visual components. ### Choose edit-mind if… - edit-mind is primarily TypeScript; VideoRAG is Python. - 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 VideoRAG - You are working with short clips (under one minute) where traditional search methods might be quicker or more straightforward. - If your needs are strictly for audio transcription or text-based retrieval, VideoRAG's features may offer more complexity than necessary. - Your video content has strict privacy concerns, as using desktop applications can sometimes pose security and confidentiality risks depending on the user’s context. ## 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 VideoRAG and edit-mind? VideoRAG: Chat with Your Videos. 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 VideoRAG over edit-mind? Choose VideoRAG over edit-mind when VideoRAG is primarily Python; edit-mind is TypeScript; Tags unique to VideoRAG: large-language-models, llms, long-video-understanding, multi-modal-llms; Also covers Model Training; You have long videos (up to hundreds of hours) and need precise analysis or summaries that require deep understanding of both audio and visual components. ### When should I choose edit-mind over VideoRAG? Choose edit-mind over VideoRAG when edit-mind is primarily TypeScript; VideoRAG is Python; 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 VideoRAG? You are working with short clips (under one minute) where traditional search methods might be quicker or more straightforward. If your needs are strictly for audio transcription or text-based retrieval, VideoRAG's features may offer more complexity than necessary. Your video content has strict privacy concerns, as using desktop applications can sometimes pose security and confidentiality risks depending on the user’s context. ### 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 VideoRAG or edit-mind more popular on GitHub? VideoRAG has more GitHub stars (3,288 vs 1,805). Stars measure visibility, not whether either tool fits your constraints. ### Are VideoRAG and edit-mind open source? Yes - both are open-source projects on GitHub (VideoRAG: Other, edit-mind: Other). ### Where can I find alternatives to VideoRAG or edit-mind? GraphCanon lists graph-backed alternatives at [VideoRAG alternatives](/tools/hkuds-videorag/alternatives) and [edit-mind alternatives](/tools/iliashad-edit-mind/alternatives) ([VideoRAG markdown twin](/tools/hkuds-videorag/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/hkuds-videorag-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, VideoRAG or edit-mind? VideoRAG: Slowing. 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 VideoRAG and edit-mind? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [VideoRAG trust report](/tools/hkuds-videorag/trust); [edit-mind trust report](/tools/iliashad-edit-mind/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-videorag`](/api/graphcanon/graph?tool=hkuds-videorag) - 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/_