Memory System - 模擬人類記憶

Store and retrieve reusable knowledge across sessions using Memory MCP tools.

11|2|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/recca0120/code-quest --skill memory-system-recca0120
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Memory System - 模擬人類記憶
Source: https://github.com/recca0120/code-quest/tree/main/.claude/skills/memory-system
Command: npx skills add https://github.com/recca0120/code-quest --skill memory-system-recca0120

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps keep important project decisions, user preferences, recurring issues, and solutions available across sessions so you don’t have to re-explain context or re-debug the same problems.

Core Features & Use Cases

  • Memory types that match how work happens: captures short-term (session), working (task), and long-term (cross-session) knowledge for consistent progress.
  • Uses Memory MCP tools to store and retrieve knowledge: create_memory to save insights, search_memories to find relevant past decisions or known issues, and list_memories to review what’s already stored.
  • Supports Code Quest–focused categories: architecture, design decisions, development rules, user preferences, and known issues/solutions to drive faster iteration in real development workflows.

Quick Start

Configure Memory MCP in your Claude Desktop settings, then save an initial project memory like: create_memory({ content: "Code Quest 記憶系統已啟用" }).

Frequently Asked Questions about Memory System - 模擬人類記憶

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

FAQPage Schema
How do I persist development decisions and preferences across coding sessions?

You can persist development decisions across sessions by using Memory MCP tools like create_memory to save architectural choices, user preferences, and known fixes, then search_memories to retrieve them later.

What's the best way to store and retrieve known bug fixes for recurring environment issues?

Storing known bug fixes is best handled by saving them as long-term memories using create_memory with a known issues category, allowing search_memories to instantly retrieve past solutions during new debugging tasks.

Can I use Memory MCP with Claude Desktop to manage TDD rules and architectural choices?

Yes, Memory MCP works with Claude Desktop to manage TDD rules and architectural choices by configuring the server in your settings and using create_memory to store development rules for targeted recall.

How do I organize stored memories so I can find relevant past decisions during new tasks?

You organize stored memories by assigning them to specific categories like architecture, design decisions, development rules, user preferences, and known issues, which enables targeted recall using search_memories and list_memories.

What types of knowledge can I save for software development workflows using a memory system?

You can save short-term session knowledge, working task knowledge, and long-term cross-session knowledge, covering architectural choices, TDD rules, recurring environment issues, and user preferences for software development.

Does the memory retrieval system require any specific dependencies or components to function?

The memory retrieval system requires no external dependencies or components beyond configuring the Memory MCP server in your Claude Desktop settings to start saving and retrieving project knowledge.