How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/rohitg00/agentmemory --skill recallBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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_searchwith the user's text asqueryandlimit: 10.
Pass project when the user scopes to a specific repo and agentId when they request one agent's history. Use targetLayer: "memory" for explicitly saved knowledge, or targetLayer: "observation" for captured activity. Omit it for mixed search.
- Search results are compact. Before quoting full content or describing
provenance, call memory_smart_search with the selected IDs as a comma-separated expandIds string and the same project, agent, and layer filters. If expansion fails or the record is no longer available, report that limitation; a title alone is not the full fact.
- Group expanded observations by session and show the returned type, title,
and narrative. Include provenance only when the response supplies it.
- Lead with the high-signal observations (importance >= 7).
- With
memory_recall, inspectmatched_count,excluded_by_budget, and
content_truncated before treating an empty or shortened response as absent knowledge. Recover full content with memory_smart_search using expandIds and the same project, agent, and layer filters. minimum_budget reports the estimated budget needed for a minimal preview when the budget is too small.
- If there are no matches, 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.memory-discipline: when to run this search unprompted.
Troubleshooting
See TROUBLESHOOTING.md if memory_smart_search is not available.




