--- title: "edit-mind vs screenpipe" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/iliashad-edit-mind-vs-screenpipe-screenpipe" tools: ["iliashad-edit-mind", "screenpipe-screenpipe"] --- # edit-mind vs screenpipe *GraphCanon updated Aug 26, 2026* ## 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. [edit-mind](https://edit-mind.com) reports 1.8k GitHub stars, 121 forks, and 15 open issues, last pushed Jun 30, 2026. [screenpipe](https://screenpipe.com) has 21k stars, 2.1k forks, and 89 open issues, last pushed Aug 26, 2026. Figures are from public GitHub metadata via [edit-mind's repository](https://github.com/IliasHad/edit-mind) and [screenpipe's repository](https://github.com/screenpipe/screenpipe). | | [edit-mind](/tools/iliashad-edit-mind.md) | [screenpipe](/tools/screenpipe-screenpipe.md) | | --- | --- | --- | | Tagline | Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search | AI that records and analyzes everything you do, say, hear locally | | Stars | 1,764 | 21,227 | | Forks | 121 | 2,133 | | Open issues | 15 | 89 | | Language | TypeScript | Rust | | 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. | YC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques. | | Persona | - | - | | Runtime | - | - | | License | 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. | Other | | Categories | Computer Vision, Data & Retrieval | AI Agents, Computer Vision, Data & Retrieval, Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [edit-mind](/tools/iliashad-edit-mind.md) | [screenpipe](/tools/screenpipe-screenpipe.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 31d | 0d | | Open issues (now) | 15 | 89 | | Stars delta | Unknown | +693 (30d) | | Open issues delta | Unknown | -14 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/iliashad-edit-mind/trust.md) | [trust report](/tools/screenpipe-screenpipe/trust.md) | ## 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. ## Decision facts: screenpipe - **Adopt for:** YC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques. ## Choose when ### 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. ### 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 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 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 ## 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 (21,227 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](/tools/iliashad-edit-mind/alternatives) and [screenpipe alternatives](/tools/screenpipe-screenpipe/alternatives) ([edit-mind markdown twin](/tools/iliashad-edit-mind/alternatives.md), [screenpipe markdown twin](/tools/screenpipe-screenpipe/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/iliashad-edit-mind-vs-screenpipe-screenpipe.md) 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](/tools/iliashad-edit-mind/trust); [screenpipe trust report](/tools/screenpipe-screenpipe/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=iliashad-edit-mind`](/api/graphcanon/graph?tool=iliashad-edit-mind) - 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/_