Comparison
VideoRAG vs edit-mind
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.
Markdown twin · VideoRAG alternatives · edit-mind alternatives
GraphCanon updated Sep 22, 2026
vs
Trust & integrity
| Signal | VideoRAG | edit-mind |
|---|---|---|
| Maintenance | Slowing (152d since push) As of Aug 18, 2026 · github_public_v1 | Steady (83d since push) As of Sep 22, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 22, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of Oct 11, 2026 · openssf-scorecard@v1 |
Tagline
- VideoRAG
- Chat with Your Videos
- edit-mind
- Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search
Stars
- VideoRAG
- 3.3k
- edit-mind
- 1.8k
Forks
- VideoRAG
- 467
- edit-mind
- 121
Open issues
- VideoRAG
- 21
- edit-mind
- 15
Language
- VideoRAG
- Python
- edit-mind
- TypeScript
Adopt for
- VideoRAG
- 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
- 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
- VideoRAG
- -
- edit-mind
- -
Runtime
- VideoRAG
- -
- edit-mind
- -
License
- VideoRAG
- Other
- edit-mind
- 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.
Last pushed
- VideoRAG
- Mar 18, 2026
- edit-mind
- Jun 30, 2026
Categories
- VideoRAG
- Data & Retrieval, Model Training
- edit-mind
- Computer Vision, Data & Retrieval
Trust and health
Maintenance
- VideoRAG
- Slowing (36%)
- edit-mind
- Steady (60%)
Days since push
- VideoRAG
- 152d
- edit-mind
- 83d
Open issues (now)
- VideoRAG
- 21
- edit-mind
- 15
Stars delta
- VideoRAG
- +104 (30d)
- edit-mind
- +41 (30d)
Open issues delta
- VideoRAG
- +1 (30d)
- edit-mind
- 0 (30d)
Owner type
- VideoRAG
- Organization
- edit-mind
- User
OpenSSF Scorecard
- VideoRAG
- Not queried
- edit-mind
- No public record from this source
Full report
- VideoRAG
- Trust report
- edit-mind
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HKUDS/VideoRAG) · observed Sep 20, 2026
- GitHub forks (HKUDS/VideoRAG) · observed Sep 20, 2026
- Last push (HKUDS/VideoRAG) · observed Mar 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (IliasHad/edit-mind) · observed Sep 22, 2026
- GitHub forks (IliasHad/edit-mind) · observed Sep 22, 2026
- Last push (IliasHad/edit-mind) · observed Jun 30, 2026
- License file (Other) · observed Sep 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: VideoRAG 3.3k · edit-mind 1.8k (synced Sep 20, 2026).
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 and edit-mind alternatives (VideoRAG markdown twin, edit-mind 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, 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; edit-mind trust report.