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Context Loader

Free

Pre-load relevant memories for efficient task execution.

by mem0ai63k stars on mem0ai/mem0
Updated Aug 7, 2026
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Free · Opens the source repo

What Context Loader does

The Context Loader skill is designed to enhance your workflow by pre-fetching relevant memories that provide essential context before you start working on a task. This skill is particularly useful when you are beginning a new project, switching contexts, or need to reference past decisions and coding conventions. By ensuring that you have access to the right information at the right time, it helps streamline your development process and reduces the time spent searching for context.

When you invoke the Context Loader, it first extracts key topics from your current message or task, identifying critical elements such as file paths, module names, feature areas, and error patterns. It then runs multiple parallel searches to gather memories that are relevant to your task, focusing on architecture decisions, coding patterns, known pitfalls, and broad project context. This multi-faceted approach ensures that you receive a comprehensive overview of the most pertinent information.

The skill outputs a compact context block containing up to ten memories, each categorized by type, such as decisions, conventions, and anti-patterns. This allows you to quickly grasp the historical context surrounding your current task without being overwhelmed by irrelevant data. If no relevant memories are found, the skill remains silent, avoiding unnecessary notifications about empty context.

The Context Loader skill is ideal for developers and designers who frequently work on complex projects that require a deep understanding of past decisions and established conventions. By integrating this skill into your workflow, you can enhance your productivity and focus on delivering high-quality work without getting bogged down by context-switching issues.

When to use it

Use this skill at the beginning of a session, when starting work on a specific feature, or during complex multi-step tasks.

When not to use it

This skill may not be suitable for simple tasks that do not require historical context or when you are confident in your current knowledge without needing additional information.

What you can build with it

Starting a New Feature

When beginning work on a new feature, use Context Loader to gather relevant decisions and coding conventions from past projects.

Switching Contexts

If you're switching from one project to another, this skill helps load necessary context to avoid confusion and maintain productivity.

Handling Complex Tasks

For complex multi-step tasks, the Context Loader pre-loads essential memories, helping you navigate through the task efficiently.

How to install Context Loader

View source

1. Install with the skills CLI

npx skills add mem0ai/mem0/context-loader --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mem0ai

Context Loader

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

When to use

  • Session start (invoke manually or auto-triggered by skill description matching)
  • User starts work on a specific feature or file set
  • Complex multi-step task begins
  • User says "what do we know about X" or "context for X"

Steps

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

  2. Run 2-4 parallel search_memories calls with different angles:

    Query angleFilterPurpose
    Feature/module name{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "decision"}}]}Architecture decisions
    File paths mentioned{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "convention"}}]}Coding patterns
    Error keywords (if any){"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "anti_pattern"}}]}Known pitfalls
    Broad project context{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}Catch-all
  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>"
  - [decision] <content> [mem0:<short_id>]
  - [convention] <content> [mem0:<short_id>]
  - [anti_pattern] <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

Frequently asked questions about Context Loader

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