memory-recall

To retrieve project context or decision logs, use semantic search to query your memory store with natural language. The system returns ranked memory IDs, timestamps, and concise summaries based on relevance scoring.

The best way to search past debugging sessions is semantic memory recall. You provide a natural-language query, and it surfaces contextually appropriate memories with relevance scoring instead of requiring exact keyword matches.

Yes, you can apply optional filters alongside your natural-language query. This allows you to narrow down semantic search results to specific historical memories or recent project events stored in the memory database.

Yes, semantic memory search works directly with claude-mem. It queries the memory store to surface and rank relevant contextual items, solving the problem of slow recall without structured search.

You can find past decisions by describing what you want to recall in natural language. Semantic search applies relevance scoring to surface decision history and contextual memories without requiring exact keyword matches.