agent-memory

Store persistent memories with frontmatter summaries in category folders.

27.7k|1.5k|Updated Jul 13, 2024
One-click install
npx skills add https://github.com/yamadashy/repomix --skill agent-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-memory
Source: https://github.com/yamadashy/repomix/tree/main/.claude/skills/agent-memory
Command: npx skills add https://github.com/yamadashy/repomix --skill agent-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

A persistent memory space for storing knowledge that survives across conversations, enabling AI assistants to remember past context and decisions.

Core Features & Use Cases

  • Proactively save important findings, decisions, and contextual information for later resumption.
  • Organize memories into category folders under .claude/skills/agent-memory/memories/ for efficient recall.
  • Restore context across sessions and handoffs, ensuring continuity in ongoing work.

Quick Start

Save a memory example: remember that the meeting with the product team occurred on 2025-06-01 and note the decision to prioritize memory management features.

Frequently Asked Questions about agent-memory

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

FAQPage Schema
How do I persist context across multiple chat sessions?

Persist context by proactively saving memories with summaries and dates to .claude/skills/agent-memory/memories/. Memories survive across conversations, restoring project context, research notes, and decision rationales when you resume work in later chats.

How do I organize and recall memories across chats?

Organize memories into category folders within .claude/skills/agent-memory/memories/ for efficient recall. Access memories through category-based organization, enabling you to retrieve stored findings and contextual information when needed across sessions.

What information should I store in memories for continuity?

Store important findings, decisions, meeting notes, project context, and work rationales with frontmatter including a summary and created date. This enables restoration of full context during handoffs and session resumption without re-explaining prior work.

Can I use memory persistence for long-term research projects?

Memory persistence works well for research projects requiring continuity. Store research notes, methodology decisions, and findings across chats so you can resume investigation without losing accumulated context or prior conclusions.

What happens to memories when I switch between conversations?

Memories stored under .claude/skills/agent-memory/memories/ persist across all conversations. They survive session boundaries, allowing you to recall prior context, decisions, and findings in any new chat without manual re-entry.