mem-searchlisted

# Memory Search Search Memplex knowledge graph across all sessions. Simple workflow: search → filter → fetch. ## When to Use Use when users ask about PREVIOUS sessions or stored knowledge (not current conversation): - "Did we already fix this?" - "How did we solve X last time?" - "What do we know about Y?" - "Recall the steps for Z" ## 3-Layer Workflow (ALWAYS Follow) **NEVER fetch full details without filtering first. 10x token savings.** ### Step 1: Search -- Get Index with IDs Use the `memory_search` MCP tool: ``` memory_search(query="authentication", top_k=20) ``` **Returns:** Table with IDs, names, relevance scores, domains (~50-100 tokens/result) ``` | ID | Name | Relevance | Domain | |----|------|-----------|--------| | func_abc123 | JWT Auth Flow | 0.92 | security | | func_def456 | Token Refresh | 0.85 | security | ``` **Parameters:** - `query` (string) - Natural language search query - `top_k` (number) - Max results, default 10 ### Step 2: Filter -- Review Results Review names and relevance scores from Step 1. Pick relevant IDs. Discard the rest. ### Step 3: Fetch -- Get Full Details ONLY for Filtered IDs Use the `memory_get` MCP tool: ``` memory_get(memory_id="func_abc123") ``` **Returns:** Complete memory object with trigger, condition, action, benefit fields, plus metadata ## Examples **Find recent knowledge about a topic:** ``` memory_search(query="authentication", top_k=20) ``` **Get details for specific memories:** ``` memory_get(memory_