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From agentmemory
Searches agentmemory for past observations, sessions, and learnings matching a query. Groups results by session, shows type/title/narrative, highlights importance >=7. Triggers on 'recall', 'remember', or prior context needs.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agentmemory:recallThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Search agentmemory for observations matching: $ARGUMENTS
Search agentmemory for observations matching: $ARGUMENTS
!QUERY=$(echo "$ARGUMENTS" | sed 's/\\/\\\\/g; s/"/\\"/g') && curl -s -H "Content-Type: application/json" -H "Authorization: Bearer ${AGENTMEMORY_SECRET:-}" -X POST http://${AGENTMEMORY_URL:-localhost:3111}/agentmemory/search -d "{\"query\": \"${QUERY}\", \"limit\": 10}" 2>/dev/null || echo '{"results":[]}'
Present the search results to the user in a readable format:
Do NOT make up or hallucinate results. Only present what was returned from the search.
npx claudepluginhub rohitg00/agentmemory --plugin agentmemoryRetrieve relevant memories for the current task from AgentDB. Use at the start of a task to load prior knowledge, when stuck to surface what worked before, or when the user asks "what do we know about X" / "have we done this before?"
Searches and surfaces relevant memories from past sessions to inform current work with decisions, patterns, and learnings. Supports hybrid, vector, and text search modes with namespace filtering.
Retrieves relevant memories from past sessions using memsearch for historical context, decisions, debugging notes, and project knowledge. Activates on relevance or '[memsearch] Memory available' hints.