memory

Store, search, and analyze persistent memory entries for AI agents.

Updated Jan 9, 2026
One-click install
npx skills add https://github.com/42atom/msgcode --skill memory-42atom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/42atom/msgcode/tree/main/src/skills/runtime/memory
Command: npx skills add https://github.com/42atom/msgcode --skill memory-42atom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows you to store and retrieve important information, ensuring that key details are not forgotten and can be easily accessed when needed.

Core Features & Use Cases

  • Add Memories: Store specific pieces of information for later recall.
  • Search Memories: Find previously stored information based on keywords.
  • View Stats: Get an overview of memory usage and activity.
  • Use Case: You can tell the agent to remember a client's preference for a specific product, and then later ask it to recall that preference when discussing new offerings with the client.

Quick Start

Use the memory skill to add a new memory about user preferences.

Frequently Asked Questions about memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I store and recall contextual information for an AI agent?

To store and recall contextual information, you can add specific entries to a persistent memory store and later search them by keyword. This ensures key details like user preferences are not forgotten and are easily accessible when needed.

How does keyword search work for retrieving stored memories?

Keyword search for retrieving stored memories works by matching your query terms against existing entries in the persistent memory store. This mechanism enables the AI agent to find and recall previously stored contextual information efficiently.

Can I get usage statistics for my AI agent's memory storage?

Yes, you can get usage statistics for your AI agent's memory storage. The system provides an overview of memory usage and activity, allowing you to track how much contextual information has been stored and retrieved.

What is the best way to manage persistent memory within a defined workspace context?

The best way to manage persistent memory within a defined workspace context is to use a dedicated storage and retrieval system. This ensures data relevance and organization by operating strictly within the specified workspace boundaries during information recall.

Does persistent memory storage support statistical analysis of stored information?

Yes, persistent memory storage supports statistical analysis of stored information. Alongside adding and searching for entries by keyword, the system provides usage statistics to help you analyze memory activity and contextual data retrieval.