context-loader

# 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 1. **Extract topics** from current message/task. Identify: subject areas, people mentioned, project names, goal references. 2. **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 | 3. **Deduplicate** results by memory ID across all search responses. 4. **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>] ``` 5. 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