edit-mind
Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search
GraphCanon updated 3w · GitHub synced 3w · 32 views this month
Decision brief
Edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries.
Good fit when
- The environment requires self-hosted operations without dependence on external servers or APIs.
- This tool is ideal when the user needs a comprehensive multi-modal analysis toolkit that includes face recognition and object detection using YOLO and DeepFace algorithms.
Avoid when
- 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.
- Requirements:
- Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (31d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install edit-mindSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Indexes videos using computer vision techniques including face recognition and object detection, searchable via natural language queries.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Jul 31, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Jul 31, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Jul 31, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Jul 31, 2026
Categories
Tags
README
Getting Started
Edit Mind uses Docker Compose to run everything in containers.
2. Configure Docker File Sharing
Important: Before proceeding, configure Docker to access your media folder.
macOS/Windows:
- Open Docker Desktop
- Go to Settings → Resources → File Sharing
- Add the path where your videos are stored (e.g.,
/Users/yourusername/Videos) - Click Apply & Restart
Linux: File sharing is typically enabled by default.
Must match the path you added to Docker File Sharing
HOST_MEDIA_PATH="/Users/yourusername/Videos"
3. Start docker container in dev mode
pnpm install
cd docker
docker-compose -f docker-compose.dev.yml up --build
License
This project is licensed under the Edit Mind License - see the LICENSE.md file for details.
For agents
This page has a .md twin and JSON over the API.