mem-record

Extract key conversation information into L1, L2, and L3 memory layers.

1|Updated May 12, 2026
One-click install
npx skills add https://github.com/cocyuhao/my-ai-skills-library --skill mem-record-cocyuhao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mem-record
Source: https://github.com/cocyuhao/my-ai-skills-library/tree/main/mem-record
Command: npx skills add https://github.com/cocyuhao/my-ai-skills-library --skill mem-record-cocyuhao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

AI personal memory system automates extracting key information from conversations and records it into appropriate memory layers, reducing manual note-taking and enabling smarter recall.

Core Features & Use Cases

  • Automatic extraction of events, decisions, preferences, and emotions from dialogues and logging to L1/L2/L3.
  • Layered memory organization with L1 memory-layer naming, L2 behavioral-memory, and L3 cognitive-memory; prompts for L4 core-values when needed.
  • Recurring pattern detection and consolidation suggestions to evolve memory over time.

Quick Start

In a new chat, say "记录到记忆系统" and the skill will extract key details and update the corresponding L1 entry.

Frequently Asked Questions about mem-record

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

FAQPage Schema
How do I automatically extract and record key information from conversations into memory layers?

Automated memory extraction captures events, decisions, preferences, and emotions from dialogues, automatically classifying them into L1, L2, and L3 memory layers. You can trigger this by saying "记录到记忆系统" in a new chat, and the system updates the corresponding L1 entry.

What is the difference between L1, L2, L3, and L4 memory layers in a personal memory system?

In this personal memory system, L1 represents the memory-layer naming, L2 handles behavioral-memory, and L3 manages cognitive-memory. L4 prompts for core-values are only triggered when manual review is required, guiding deeper memory consolidation.

How do I detect recurring patterns and consolidate duplicate memory entries?

Recurring pattern detection and consolidation suggestions automatically evolve your memory over time by identifying duplicate entries. The system provides user-guided suggestions for memory consolidation, ensuring your structured memory layers remain organized without manual cross-checking.

Can I use an automated memory protocol for everyday chats and emotional notes?

Yes, the memory protocol applies to everyday chats, pivotal decisions, expressed preferences, and emotional notes. It automatically extracts this diverse dialogue data and logs it into the appropriate structured memory layers for smarter recall.

When do I need manual review for L4 core-values memory entries?

Manual review for L4 core-values is required when the automated layer assignment encounters items needing deeper cognitive consolidation. The system triggers guided prompts specifically for these L4 core-values, distinguishing them from automatically categorized L1, L2, and L3 logs.

Does the mem-record skill require any external dependencies or APIs to function?

No, the mem-record skill operates with zero external dependencies. It functions independently using internal scripts and references to execute the memory protocol, extracting conversation data and assigning it to structured layers without requiring external API connections.