Pre-fetches relevant memories to prime context before working on a task or topic.
Steps
-
Extract topics from current message/task. Identify: subject areas, people mentioned, project names, goal references.
-
Call
mem0_memoryonce withaction="search"and a focused question about the task. -
Output compact context block (max 10 memories):
context-loader: loaded <N> memories for "<task summary>"
- [decisions] <content> [mem0:<short_id>]
- [preferences] <content> [mem0:<short_id>]
- [lessons] <content> [mem0:<short_id>]
- If zero results: output nothing. Don't announce empty context.
Constraints
- Read-only — never modify or delete memories
- Max 10 memories returned (most relevant only)
- Silent on empty — only surfaces findings if relevant context exists
- Skip memories already visible in current session context