name: context-loader description: Searches and injects relevant memories into context before starting work on a task or topic. Use when beginning a new task, switching context, or when past decisions, preferences, or knowledge need to be loaded.
Context Loader
Pre-fetches relevant memories to prime context before working on a task or topic.
When to use
- Session start (auto-triggered by the extension's
before_agent_startevent) - User starts work on a specific topic or area
- User says "what do we know about X" or "context for X"
Steps
Extract topics from current message/task. Identify: subject areas, people mentioned, project names, goal references.
Run 2-4 parallel searches using
mem0_memorytool withaction="search"and different query angles:Query angle Purpose Topic/subject name Relevant decisions and preferences People mentioned Relationship context Project/goal references Progress and background Broad context Catch-all for anything relevant Deduplicate results by memory ID across all search responses.
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