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Search agentmemory for past observations, sessions, and learnings about a topic using hybrid BM25 plus vector plus graph search. Use when the user says…
The user wants to recall past context about: $ARGUMENTS
Quick start
memory_smart_search { "query": "jwt refresh token rotation", "limit": 10 }
Expected output:
2 results across 2 sessions.
[importance 8] decision · "Rotate refresh tokens on every use" (session 7f3a9c21)
[importance 5] code · "limit.ts counts per-IP" (session b21d004e)
Why
Only surface what the tool returned. Never fabricate an observation, a session
id, or an importance score. If nothing comes back, say so.
Workflow
Call memory_smart_search with the user's text as query and limit: 10.
Pass project when the user scopes to a specific repo.
Group results by session.
For each observation show its type, title, and narrative.
Lead with the high-signal observations (importance >= 7).
If zero results, suggest 2-3 alternative search terms and stop. Do not guess.
Anti-patterns
WRONG: results are empty, so you write "We probably discussed token expiry last
week" from assumption.
RIGHT: "No memories matched that query. Try refresh token, session expiry,
or auth rotation."
Checklist
Every observation shown came from the tool response.
Results grouped by session, high-importance first.
Empty results trigger alternative-term suggestions, not invention.
No session id or score was paraphrased or rounded.
See also
remember: the write side; recall retrieves what it stores.
recap, handoff, session-history: session-scoped views of the same data.
Troubleshooting
See ../_shared/TROUBLESHOOTING.md if memory_smart_search is not available.don't have the plugin yet? install it then click "run inline in claude" again.