--- title: "screenpipe vs meetily" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/screenpipe-screenpipe-vs-zackriya-solutions-meetily" tools: ["screenpipe-screenpipe", "zackriya-solutions-meetily"] --- # screenpipe vs meetily *GraphCanon updated Sep 20, 2026* ## Verdict Pick screenpipe if yC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques; pick meetily if meetily is a self-hosted, privacy-focused AI meeting assistant that offers fast live transcription, speaker diarization, and summarization capabilities, all processed locally without cloud dependency. [screenpipe](https://screenpipe.com) reports 22k GitHub stars, 2.2k forks, and 26 open issues, last pushed Sep 20, 2026. [meetily](https://meetily.ai) has 31k stars, 3.3k forks, and 374 open issues, last pushed Sep 15, 2026. Figures are from public GitHub metadata via [screenpipe's repository](https://github.com/screenpipe/screenpipe) and [meetily's repository](https://github.com/Zackriya-Solutions/meetily). | | [screenpipe](/tools/screenpipe-screenpipe.md) | [meetily](/tools/zackriya-solutions-meetily.md) | | --- | --- | --- | | Tagline | AI that records and analyzes everything you do, say, hear locally | Privacy first AI meeting assistant with local processing | | Stars | 21,636 | 30,899 | | Forks | 2,205 | 3,345 | | Open issues | 26 | 374 | | Language | Rust | Rust | | Adopt for | YC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques. | Meetily is a self-hosted, privacy-focused AI meeting assistant that offers fast live transcription, speaker diarization, and summarization capabilities, all processed locally without cloud dependency. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT License, allowing for free use and modification of the project. | | Categories | AI Agents, Computer Vision, Data & Retrieval, Inference & Serving, Speech & Audio | AI Agents, Data & Retrieval, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [screenpipe](/tools/screenpipe-screenpipe.md) | [meetily](/tools/zackriya-solutions-meetily.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 26 | 374 | | Stars delta | +1.1k (30d) | +1.6k (30d) | | Open issues delta | -77 (30d) | +27 (30d) | | Full report | [trust report](/tools/screenpipe-screenpipe/trust.md) | [trust report](/tools/zackriya-solutions-meetily/trust.md) | ## 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. ## Decision facts: meetily - **Pricing:** freemium - Open-source and free to use, with no explicit paid features mentioned. - **Requirements:** Min 4 GB RAM; Requires a local installation on macOS or Windows systems.; No cloud services are required for operation. - **Adopt for:** Meetily is a self-hosted, privacy-focused AI meeting assistant that offers fast live transcription, speaker diarization, and summarization capabilities, all processed locally without cloud dependency. - **License detail:** MIT License, allowing for free use and modification of the project. ## Choose when ### Choose screenpipe if… - License: screenpipe is Other, meetily is MIT. - Tags unique to screenpipe: agents, agi, ai-memory, audio-recording. - Also covers Computer Vision, Inference & Serving. - Need to monitor and analyze personal data locally with privacy in mind ### Choose meetily if… - License: meetily is MIT, screenpipe is Other. - Pricing: Open-source and free to use, with no explicit paid features mentioned.. - Requirements: Min 4 GB RAM; Requires a local installation on macOS or Windows systems.; No cloud services are required for operation.. - Tags unique to meetily: ai-meeting-assistant, privacy-focused, speech-to-text, transcription. - When you need a privacy-first solution that processes all data locally, avoiding any cloud dependencies. ## 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 ## When NOT to use meetily - If your organization requires cloud-based services for meeting data processing, as Meetily operates entirely offline. - When you need a tool that supports a wide range of operating systems beyond macOS and Windows. - If you are looking for a tool that integrates with existing cloud-based meeting platforms, as Meetily is designed for local processing only. - For users who prefer tools written in languages other than Rust, as Meetily is built on Rust for performance and security. ## Common questions ### What is the difference between screenpipe and meetily? screenpipe: AI that records and analyzes everything you do, say, hear locally. meetily: Privacy first AI meeting assistant with local processing. See the comparison table for live GitHub stats and shared categories. ### When should I choose screenpipe over meetily? Choose screenpipe over meetily when License: screenpipe is Other, meetily is MIT; Tags unique to screenpipe: agents, agi, ai-memory, audio-recording; Also covers Computer Vision, Inference & Serving; Need to monitor and analyze personal data locally with privacy in mind. ### When should I choose meetily over screenpipe? Choose meetily over screenpipe when License: meetily is MIT, screenpipe is Other; Pricing: Open-source and free to use, with no explicit paid features mentioned.; Requirements: Min 4 GB RAM; Requires a local installation on macOS or Windows systems.; No cloud services are required for operation.; Tags unique to meetily: ai-meeting-assistant, privacy-focused, speech-to-text, transcription; When you need a privacy-first solution that processes all data locally, avoiding any cloud dependencies. ### 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 ### When should I avoid meetily? If your organization requires cloud-based services for meeting data processing, as Meetily operates entirely offline. When you need a tool that supports a wide range of operating systems beyond macOS and Windows. If you are looking for a tool that integrates with existing cloud-based meeting platforms, as Meetily is designed for local processing only. For users who prefer tools written in languages other than Rust, as Meetily is built on Rust for performance and security. ### Is screenpipe or meetily more popular on GitHub? meetily has more GitHub stars (30,899 vs 21,636). Stars measure visibility, not whether either tool fits your constraints. ### Are screenpipe and meetily open source? Yes - both are open-source projects on GitHub (screenpipe: Other, meetily: MIT). ### Where can I find alternatives to screenpipe or meetily? GraphCanon lists graph-backed alternatives at [screenpipe alternatives](/tools/screenpipe-screenpipe/alternatives) and [meetily alternatives](/tools/zackriya-solutions-meetily/alternatives) ([screenpipe markdown twin](/tools/screenpipe-screenpipe/alternatives.md), [meetily markdown twin](/tools/zackriya-solutions-meetily/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/screenpipe-screenpipe-vs-zackriya-solutions-meetily.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, screenpipe or meetily? screenpipe: Very active. meetily: 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 screenpipe and meetily? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [screenpipe trust report](/tools/screenpipe-screenpipe/trust); [meetily trust report](/tools/zackriya-solutions-meetily/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=screenpipe-screenpipe`](/api/graphcanon/graph?tool=screenpipe-screenpipe) - 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/_