| 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_start event)
- 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_memory tool with action="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
