agent-memory

Store and recall contextual memories with frontmatter summaries and created dates.

1|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/caobingsheng/skills --skill agent-memory-caobingsheng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-memory
Source: https://github.com/caobingsheng/skills/tree/main/.claude/skills/agent-memory
Command: npx skills add https://github.com/caobingsheng/skills --skill agent-memory-caobingsheng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Storing and recalling context across conversations is challenging; this skill provides a persistent memory space to save important findings, notes, and decisions for future reference.

Core Features & Use Cases

  • Persistent memory store that survives across sessions
  • Proactive saving of valuable findings, patterns, and decisions
  • Searchable organization of memories with simple categorization for quick retrieval
  • Guidelines for memory entries (frontmatter with summary and created date) to support consistency

Quick Start

Create a memory entry with a concise summary and a created date.

Frequently Asked Questions about agent-memory

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

FAQPage Schema
How do I save context and notes across conversations?▼

To save context across conversations, you can use a persistent memory store to proactively capture notes, decisions, and findings that survive across sessions for future reference.

What is the best way to organize and retrieve memories for future sessions?▼

The best way to retrieve memories is using a searchable organization system with simple categorization, requiring each entry to have a frontmatter summary and created date for consistency.

How do I create a memory entry to preserve important decisions?▼

Create a memory entry by providing a concise summary and a created date in the frontmatter. You can also add optional categories to support organized and searchable retrieval.

Can I revise or update previously saved notes in a persistent memory store?▼

Yes, you can manage additions and revisions to saved notes using the searchable workflow, ensuring that evolving context and new decisions are updated in the persistent memory store.

When do I need a persistent memory space for my conversations?▼

You need a persistent memory space when storing and recalling context across conversations becomes challenging, specifically when capturing valuable findings, patterns, and decisions for later retrieval.

What limitations exist when categorizing memories for quick retrieval?▼

The main limitation is that memory entries require a strict frontmatter with a summary and created date to support consistency, while categories remain optional for organizing the searchable retrieval process.