Open-Source Local Memory Layer screenpipe
rohanpaul_ai · x · 2026-07-15
This is a local-first working memory layer designed for AI agents: screenpipe records how users work and transforms this data into searchable memories, SOPs, and context for agents.
The author highlights that it is open-source and local-first, having already amassed 20,000+ GitHub stars, 1,900+ forks, and 130+ contributors. Users retain full control over what is recorded, allowing them to exclude specific apps, windows, and URLs, as well as choose where data is stored.
Its use cases include:
- Automatically generating meeting follow-ups and daily summaries
- Maintaining personal CRM records
- Extracting SOPs
- Helping companies identify redundant workflows across multiple machines, consolidate process knowledge, and expose bottlenecks
Related event: Screenpipe: open-source local-first AI memory layer(5 posts)→
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