mem-file-scan

To extract decisions and events from modified Obsidian files, scan recently edited markdown files using date-range filtering and content analysis to surface memory-worthy items like preferences, habits, and action items.

The best way to prepare for a weekly review of Obsidian vault changes is to scan modified markdown files, categorize them into daily notes or project docs, and highlight potential decisions and action items for memory recording.

Memory logging during Obsidian weekly file reviews works by scanning modified markdown files, identifying decisions and new habits, and presenting a summary for user confirmation before handing off the finalized items to the AI memory system.

Yes, you can scan your Obsidian vault to find action items while excluding hidden system directories and AI_MEMORY folders, ensuring the review only focuses on your active daily notes, project docs, and study notes.

You categorize Obsidian markdown files during a change detection scan by analyzing the modified content and grouping files into types such as daily notes, project docs, and study notes to make the weekly review easier.

A limitation of automated file change detection for memory recording is that it requires a user confirmation step to verify which surfaced events, decisions, and preferences should actually be logged to L1 memory.