Comparison
edit-mind vs screenpipe
Verdict
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; pick screenpipe if yC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques.
Markdown twin · edit-mind alternatives · screenpipe alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | edit-mind | screenpipe |
|---|---|---|
| Maintenance | Steady (31d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 1mo · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- edit-mind
- Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search
- screenpipe
- AI that records and analyzes everything you do, say, hear locally
Stars
- edit-mind
- 1.8k
- screenpipe
- 21k
Forks
- edit-mind
- 121
- screenpipe
- 2.0k
Open issues
- edit-mind
- 15
- screenpipe
- 103
Language
- edit-mind
- TypeScript
- screenpipe
- Rust
Adopt for
- 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.
- screenpipe
- YC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques.
Persona
- edit-mind
- -
- screenpipe
- -
Runtime
- edit-mind
- -
- screenpipe
- -
License
- 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.
- screenpipe
- Other
Last pushed
- edit-mind
- Jun 30, 2026
- screenpipe
- Jul 26, 2026
Categories
- edit-mind
- Computer Vision, Data & Retrieval
- screenpipe
- AI Agents, Computer Vision, Data & Retrieval, Inference & Serving, Speech & Audio
Trust and health
Maintenance
- edit-mind
- Steady (60%)
- screenpipe
- Very active (96%)
Days since push
- edit-mind
- 31d
- screenpipe
- 0d
Open issues (now)
- edit-mind
- 15
- screenpipe
- 103
Owner type
- edit-mind
- User
- screenpipe
- Organization
Full report
- edit-mind
- Trust report
- screenpipe
- Trust report
Choose edit-mind if…
- edit-mind is primarily TypeScript; screenpipe is Rust.
- 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, face-recognition, ml, self-hosted.
- 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.
Choose screenpipe if…
- screenpipe is primarily Rust; edit-mind is TypeScript.
- Tags unique to screenpipe: agents, agi, ai-memory, audio-recording.
- Also covers AI Agents, Inference & Serving, Speech & Audio.
- Need to monitor and analyze personal data locally with privacy in mind
When NOT to use screenpipe
- Require cloud-based centralized AI services for user activity analysis
- Looking for open-source tools as Screenpipe uses an unspecified license
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (IliasHad/edit-mind) · observed Jul 31, 2026
- GitHub forks (IliasHad/edit-mind) · observed Jul 31, 2026
- Last push (IliasHad/edit-mind) · observed Jun 30, 2026
- License file (Other) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (screenpipe/screenpipe) · observed Jul 26, 2026
- GitHub forks (screenpipe/screenpipe) · observed Jul 26, 2026
- Last push (screenpipe/screenpipe) · observed Jul 26, 2026
- License file (Other) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: edit-mind 1.8k · screenpipe 21k (synced Jul 31, 2026).
Common questions
- What is the difference between edit-mind and screenpipe?
- edit-mind: Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search. screenpipe: AI that records and analyzes everything you do, say, hear locally. See the comparison table for live GitHub stats and shared categories.
- When should I choose edit-mind over screenpipe?
- Choose edit-mind over screenpipe when edit-mind is primarily TypeScript; screenpipe is Rust; 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, face-recognition, ml, self-hosted; 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 choose screenpipe over edit-mind?
- Choose screenpipe over edit-mind when screenpipe is primarily Rust; edit-mind is TypeScript; Tags unique to screenpipe: agents, agi, ai-memory, audio-recording; Also covers AI Agents, Inference & Serving, Speech & Audio; Need to monitor and analyze personal data locally with privacy in mind.
- 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.
- When should I avoid screenpipe?
- Require cloud-based centralized AI services for user activity analysis Looking for open-source tools as Screenpipe uses an unspecified license
- Is edit-mind or screenpipe more popular on GitHub?
- screenpipe has more GitHub stars (20,534 vs 1,764). Stars measure visibility, not whether either tool fits your constraints.
- Are edit-mind and screenpipe open source?
- Yes - both are open-source projects on GitHub (edit-mind: Other, screenpipe: Other).
- Where can I find alternatives to edit-mind or screenpipe?
- GraphCanon lists graph-backed alternatives at edit-mind alternatives and screenpipe alternatives (edit-mind markdown twin, screenpipe 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, edit-mind or screenpipe?
- edit-mind: Steady. screenpipe: Very active. 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 edit-mind and screenpipe?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: edit-mind trust report; screenpipe trust report.