agent-memory

Store and recall persistent knowledge across conversations using categorized files.

Updated Jan 18, 2026
One-click install
npx skills add https://github.com/mullzhang/skills --skill agent-memory-mullzhang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-memory
Source: https://github.com/mullzhang/skills/tree/main/skills/repomix/agent-memory
Command: npx skills add https://github.com/mullzhang/skills --skill agent-memory-mullzhang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a persistent memory space to store and retrieve information, ensuring knowledge survives across conversations and can be easily organized and accessed.

Core Features & Use Cases

  • Persistent Storage: Save important findings, solutions, or context that you might need later.
  • Organized Recall: Structure memories into categories and use summaries for efficient searching.
  • Use Case: After solving a complex bug, save the solution with its context and steps taken so you can quickly recall it if the issue reappears or if a teammate encounters it.

Quick Start

Use the agent-memory skill to save the following information about the recent performance issue.

Frequently Asked Questions about agent-memory

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

FAQPage Schema
How do I save and recall knowledge across conversations?

A persistent memory space allows you to save and recall knowledge across conversations by proactively storing findings with context, categorizing them with frontmatter, and checking memories before starting related work.

What is the best way to maintain a persistent knowledge base for AI agents?

The best way to maintain a persistent knowledge base is through structured organization. Categorize memory files and use summaries for efficient searching, ensuring you proactively save valuable findings and check existing memories before beginning new related work.

Can I organize saved notes and findings into categories for easier searching?

Yes, you can organize saved notes into categories. The memory space supports structured maintenance through categorization and frontmatter, allowing you to use summaries for efficient searching and quickly recall specific context when issues reappear.

When do I need persistent memory for my notes and findings?

You need persistent memory when you want knowledge to survive across conversations. It is essential when saving complex bug solutions, ensuring you can quickly recall the steps taken and context if the issue reappears or a teammate encounters it.

Does agent-memory work without external dependencies for storing context?

Yes, persistent memory storage works without external dependencies. It operates independently to manage your memory files, requiring only a structured approach to saving, maintaining, and searching your knowledge base through categorization and frontmatter.