memory-search

Search memory logs by running a query with your target keywords or patterns to instantly locate matching decisions, notes, and past entries across memory stores. Results are grouped by file with line numbers and context for quick navigation.

Finding past project decisions involves querying memory stores using keywords or category tags. You can apply flags like --global or --sessions to narrow results to specific memory scopes, returning structured Markdown entries grouped by file.

Yes, searching across global memory and session histories is supported simultaneously. You apply flags like --global and --sessions to tailor the query scope, locating relevant notes across multiple memory stores with structured results.

Filter memory search results by category tags using the --category flag during your query. This parses the input and returns structured Markdown grouped by file, showing only the memory notes matching the specified category tags.

Memory search works directly for AI coding assistants needing to recall debugging notes or past decisions. It parses user queries and returns structured Markdown results grouped by file with context, helping developers quickly locate relevant session histories.

Memory search results use structured Markdown grouped by file with line numbers and category tags. This format aids navigation by delivering organized context for each matching memory note found across the queried global or session stores.