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memory-store

Store and retrieve user context within the MAG persistent memory system.

8|2|Updated Mar 12, 2026
Search Tags:#information retrieval#persistent memory#AI tool integration#memory storage#context maintenance
One-click install
npx skills add https://github.com/George-RD/mag --skill memory-store-george-rd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-store
Source: https://github.com/George-RD/mag/tree/main/connectors/opencode/skills/memory-store
Command: npx skills add https://github.com/George-RD/mag --skill memory-store-george-rd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows users to store and retrieve memories within the MAG persistent memory system, enabling them to maintain context across different sessions and tools.

Core Features & Use Cases

  • Persistent Memory: Store and recall information across sessions and projects.
  • Data Storage: Save content with configurable importance, tags, and associations to projects or events.
  • Use Case: After completing a task on Monday, you can reference the stored memory when you return to the project on Tuesday to maintain continuity in your work.

Quick Start

Store a memory into MAG with an importance level using the following command: store "The task completion date for Q2 project is the 15th of April."

Frequently Asked Questions about memory-store

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

FAQPage Schema
How do I maintain persistent memory across different AI sessions and tools?▼

Persistent memory across sessions is maintained by storing user content such as notes, thoughts, and decision logs within the MAG system, allowing retrieval to preserve context when returning to projects.

What is the best way to store decision logs and notes for later retrieval?▼

Storing decision logs is best handled by saving content into the MAG memory system with configurable importance levels and tags, enabling quick recall and continuity for future project tasks.

Do I need a configured MAG environment to use persistent memory storage?▼

Yes, a configured MAG environment and an active user account are required to use persistent memory storage, ensuring user context is maintained and data is saved effectively across sessions.

Can I save information with custom tags and importance levels for context maintenance?▼

Yes, you can save information with configurable importance levels and tags, associating the stored memory content with specific projects or events for structured context maintenance and retrieval.

When do I need persistent memory for information retrieval in software engineering?▼

You need persistent memory for information retrieval when resuming multi-day development tasks, allowing you to reference previously stored notes and maintain uninterrupted continuity across different sessions and tools.

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