context-loader

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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.

mem0ai By mem0ai schedule Updated 6/12/2026

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

  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>]
  1. 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
Install via CLI
npx skills add https://github.com/mem0ai/mem0 --skill context-loader
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