| name | remnic-recall |
| description | Search Remnic memories by natural-language query. Trigger phrases include "what do you remember about", "recall anything on", "have we discussed". |
| allowed-tools | ["remnic_recall"] |
When to use
Use when the user or the current task needs prior context from Remnic. This is the default first step for any non-trivial Claude Code turn that could benefit from memory.
Triggers:
- "What do you remember about …"
- "Have we talked about …"
/remnic:recall <query> slash command invocation.
- A new task begins and the agent wants background.
Inputs
query (required) — natural-language question or topic string.
- Optional: caller-supplied budget hint (brief, deep).
Procedure
- Build a concise natural-language query from the user's message. Prefer the user's own wording.
- Call
remnic_recall with that query; request 3–8 results unless the caller specified otherwise.
- Filter results for topical relevance.
- Present 1–5 bullet points summarizing the relevant memories, attributed when useful.
- If nothing relevant came back, say so plainly and suggest
remnic-remember if there is something worth storing now.
Efficiency plan
- One broad recall beats several narrow ones.
- Reuse recall results within the same turn — do not re-query the same topic.
- Skip recall for trivially local tasks.
Pitfalls and fixes
- Pitfall: Quoting irrelevant recalls just because they came back. Fix: Filter for relevance before surfacing.
- Pitfall: Over-narrowing the query. Fix: Start broad; refine only when the first pass was noisy.
- Pitfall: Showing raw memory payloads. Fix: Summarize in the user's own terms.
Verification checklist
Tool names: canonical name is remnic_recall. The legacy engram_recall alias remains accepted during v1.x.