mem-file-scan

To extract key decisions from weekly Obsidian notes, you can scan modified Markdown files to surface noteworthy events and patterns. This process identifies important changes and prepares structured candidate records for user confirmation into a long-term memory layer.

Tracking Obsidian file changes for long-term memory involves scanning weekly Markdown edits to detect important decisions and potential patterns. The system excludes folders like AI_MEMORY and .trash, presenting a clean list of modified files to review and log into L1.

Yes, you can scan Obsidian Markdown edits while excluding system folders. The process specifically filters out directories like AI_MEMORY, .obsidian, and .trash, ensuring that only user-generated Markdown notes are reviewed for important events and decisions.

To record Obsidian notes into L1 memory, initiate a weekly scan of edited Markdown files to identify noteworthy decisions and patterns. The scan prompts you to decide which surfaced items should be logged, aiding in structured knowledge capture for long-term memory.

Yes, weekly Obsidian note scanning supports pattern detection by reviewing modified Markdown files to identify potential patterns and important events. It analyzes file changes to provide structured candidate records, allowing users to confirm and log relevant materials into L1.