agent-memory

Store and retrieve persistent memories across conversations with structured frontmatter.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/wukangcheng2944/claude-skills --skill agent-memory-wukangcheng2944
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-memory
Source: https://github.com/wukangcheng2944/claude-skills/tree/main/agent-memory
Command: npx skills add https://github.com/wukangcheng2944/claude-skills --skill agent-memory-wukangcheng2944

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

A persistent memory space for storing knowledge that survives across conversations, enabling quick recall and continuity between sessions.

Core Features & Use Cases

  • Persistent memory storage that survives restarts and is organized for easy lookup
  • Proactive memory governance with structured frontmatter to aid search and handoffs
  • Ideal for research notes, decision logs, and cross-session idea capture

Quick Start

Save a memory by creating a new file under .claude/skills/agent-memory/memories/ with a concise summary.

Frequently Asked Questions about agent-memory

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

FAQPage Schema
How do I persist notes and context across conversations so I don't lose research progress?

You can persist notes across conversations by saving them as files with structured frontmatter under the memories directory, enabling quick recall and context continuity between sessions.

What's the best way to organize cross-session knowledge consolidation for decision logs?

Organize cross-session knowledge consolidation by using category-based directories for decision logs, storing each entry as a file with a concise summary and creation date in the frontmatter.

Can I search and retrieve specific research notes saved in a persistent memory space?

Yes, you can search and retrieve specific research notes using the fast search functionality applied to the organized memory files, utilizing the structured frontmatter summary field.

Do I need a structured format to store memory files for cross-session context preservation?

Yes, storing memory files requires a structured frontmatter that includes summary and created fields to aid search and handoffs across conversations.

Does persistent memory storage survive restarts when capturing cross-session ideas?

Yes, persistent memory storage survives restarts by saving knowledge as files on disk, ensuring that captured ideas and notes remain accessible for quick lookup in future sessions.

When should I use a persistent memory space instead of standard conversation context?

Use a persistent memory space when you need to preserve research notes, decision logs, or cross-session knowledge that must survive restarts and remain organized for fast retrieval.