Context Loader

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

Steps

1. Extract topics from current message/task. Identify: file paths, module names, feature areas, error patterns.

2. Call search_memories once with a focused question about the task: filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10.

3. Output compact context block (max 10 memories):

context-loader: loaded <N> memories for "<task summary>"
  - [decision] <content> [mem0:<short_id>]
  - [convention] <content> [mem0:<short_id>]
  - [anti_pattern] <content> [mem0:<short_id>]