Context Loader

Pre-fetches relevant memories to prime context before working on a task or topic.

Steps

1. Extract topics from current message/task. Identify: subject areas, people mentioned, project names, goal references.

2. Call mem0_memory once with action="search" and a focused question about the task.

3. 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>]

4. 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