/recall
Search past session observations and lessons for relevant context. Wrap the `memory_smart_search` and `memory_lesson_recall` MCP tools.
> /plugin marketplace add rohitg00/agentmemory > /plugin install agentmemory@agentmemory
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/recall
Context preview
What this command does when you run it.
Search past session observations and lessons for relevant context. Wrap the `memory_smart_search` and `memory_lesson_recall` MCP tools.
Command definition
recall.mdSearch past session observations and lessons for relevant context. Wrap the `memory_smart_search` and `memory_lesson_recall` MCP tools.
Usage
/recall [query]
Instructions
1. Call `memory_smart_search` with the query and `limit: 10` (hybrid BM25 + vector + graph search). 2. Call `memory_lesson_recall` with the same query and `limit: 5` (lesson search). 3. Combine results and present to the user:
- Group by session
- Show type, title, and narrative for each observation
- Highlight high-importance (>= 7) observations
- Show lessons separately with confidence scores
4. If no results, suggest 2-3 alternative search terms. 5. **Never hallucinate results.** Only present what the MCP tools actually return.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Repo: rohitg00/agentmemory