memory-recall

Retrieve stored memories from the MAG persistent memory system.

8|2|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/George-RD/mag --skill memory-recall-george-rd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-recall
Source: https://github.com/George-RD/mag/tree/main/connectors/opencode/skills/memory-recall
Command: npx skills add https://github.com/George-RD/mag --skill memory-recall-george-rd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you overcome the challenge of losing context between sessions by allowing you to search and recall memories stored in the MAG persistent memory system.

Core Features & Use Cases

  • Persistent Memory: Maintain your AI's memory across different sessions and projects.
  • Multi-phase Retrieval: Efficiently search and access stored memories using various filters.
  • Use Case: If you need to reference a previous discussion or decision made with your AI assistant, this Skill enables you to quickly retrieve that information.

Quick Start

To search for a memory, simply use the command: mag search "query"

Frequently Asked Questions about memory-recall

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

FAQPage Schema
How do I retrieve stored memories and preserve AI context across different sessions?

To retrieve stored memories and preserve AI context across sessions, use this Skill's multi-phase retrieval pipeline to search the MAG persistent memory system. It provides accurate memory recall by fetching your previously stored discussion context.

What is the best way to search for previous AI session context in the MAG memory system?

The best way to search for previous AI session context in the MAG memory system is using the `mag search "query"` command. This triggers the multi-phase retrieval pipeline to find relevant stored memories efficiently.

Can I maintain persistent memory for an AI assistant across multiple projects and tools?

Yes, you can maintain persistent memory for an AI assistant across multiple projects and tools. The Skill retrieves stored memories from the MAG persistent memory system, ensuring long-term context preservation and session continuity.

How does multi-phase retrieval work for accessing stored memories?

Multi-phase retrieval for accessing stored memories works by efficiently searching the MAG persistent memory system using various filters. This pipeline ensures accurate and relevant memory recall from your previous AI interactions.

Do I need any specific dependencies to use memory recall for AI context preservation?

No specific external dependencies are required to use memory recall for AI context preservation. The Skill operates independently to retrieve stored memories directly from the MAG persistent memory system.