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deusXmachina-dev/memorylane

by Various

๐Ÿ“‡ โ˜๏ธ ๐Ÿ  ๐ŸŽ - Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity histor

D

MCP

deusXmachina-dev/memorylane

Added 1 June 2026

Overview

MemoryLane is a desktop application that captures screen activity through event-driven screenshots. It stores AI-generated summaries and OCR text locally in a SQLite database, exposing your activity history for review.

Best for

Best for
Developers and privacy-conscious users who want a local, searchable record of their screen activity.

Use cases

  • Reviewing personal screen activity logs for productivity tracking
  • Searching past screen content via OCR text and AI summaries
  • Building a local, searchable timeline of desktop work sessions

Notes

MemoryLane is a desktop application that captures screen activity through event-driven screenshots. It stores AI-generated summaries and OCR text locally in a SQLite database, exposing your activity history for review.

122 stars on GitHub. Last updated 2026-06-01. Licensed GPL-3.0.

Use cases

  • Reviewing personal screen activity logs for productivity tracking
  • Searching past screen content via OCR text and AI summaries
  • Building a local, searchable timeline of desktop work sessions

Pros

  • All data stored locally in SQLite, preserving privacy
  • Event-driven capture reduces storage waste compared to continuous recording
  • Combines OCR and AI summaries for rich searchability

Cons

  • Requires manual setup and configuration as an open-source tool
  • Limited to desktop use with no mobile or cross-platform support
  • AI summary quality depends on local model or API integration not specified

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • All data stored locally in SQLite, preserving privacy
  • Event-driven capture reduces storage waste compared to continuous recording
  • Combines OCR and AI summaries for rich searchability

Cons

  • Requires manual setup and configuration as an open-source tool
  • Limited to desktop use with no mobile or cross-platform support
  • AI summary quality depends on local model or API integration not specified