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agent-memory

Store and retrieve user memories across conversations with categorized folders.

Updated Jan 6, 2026
Search Tags:#recall#memory#organization#notes#ai-assistant#knowledge-base
One-click install
npx skills add https://github.com/msd-dev-lab/python-dev-template --skill agent-memory-msd-dev-lab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-memory
Source: https://github.com/msd-dev-lab/python-dev-template/tree/main/skills/agent-memory
Command: npx skills add https://github.com/msd-dev-lab/python-dev-template --skill agent-memory-msd-dev-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a persistent memory space for storing knowledge that survives across conversations, enabling continuity and faster context recall.

Core Features & Use Cases

  • Memory capture: Save important findings, decisions, and context from discussions for later reference.
  • Context recall: Proactively retrieve relevant memories when starting related work or resuming a paused task.
  • Organization: Categorize memories into topic folders and maintain a lightweight knowledge base.

Quick Start

To save a memory, say: remember this: [content]. To retrieve a memory about a topic, say: what did we discuss about [topic]?

Frequently Asked Questions about agent-memory

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

FAQPage Schema
How do I persist and recall context across AI assistant conversations?▼

You can persist and recall context across conversations by saving important findings and decisions to a dedicated memory space, allowing the AI assistant to retrieve relevant notes when resuming a paused task.

Can I organize AI assistant notes into a lightweight knowledge base?▼

Yes, you can organize AI assistant notes into a lightweight knowledge base by storing memories in kebab-case folders with frontmatter summaries and optional categorization for structured retrieval.

How do I save and retrieve memories during a chat session?▼

To save a memory, instruct the assistant to remember specific content. To retrieve it later, ask what was discussed about a topic to trigger proactive recall of related saved context.

Do I need any dependencies or external tools to maintain conversation memory?▼

No external dependencies or tools are required to maintain conversation memory. The skill stores data locally under the .claude/skills/agent-memory/memories/ directory using standard frontmatter files.

What format do saved memories use for consolidation and retrieval?▼

Saved memories use files with required frontmatter containing a summary and created date, stored within kebab-case folders, to support memory consolidation and accurate context retrieval.

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