Memory System

by kangarooking

Memory System is an AI Engineering skill for Claude Code, published by kangarooking in system-prompt-skills.

182 stars40 forkson kangarooking/system-prompt-skillsAdded 2026/09/06+3% in starsRepository updated 2026/05/04

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agent-designagent-skillsai-agentscangjie-skillcontext-managementprompt-engineeringprompt-injectionsystem-prompttool-use

Install in seconds

Install Memory System

Copy Memory System into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/kangarooking/system-prompt-skills/tree/main/memory-system ~/.claude/skills/memory-system

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/kangarooking/system-prompt-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: memory-system/SKILL.md in kangarooking/system-prompt-skills
Installs to: ~/.claude/skills/memory-system
Collection: One of 15 skills cataloged from this repository
Category: AI Engineering — 3278 skills

What Memory System does

Memory System designs how an AI stores, retrieves, applies, and updates user and project memories across sessions. Use it when building personalization, handling sensitive memories, or deciding when memory should be applied silently.

Memory System is cataloged under AI Engineering on DirSkills. Memory System comes from a repository tagged agent-design, agent-skills, ai-agents, cangjie-skill and context-management.

Documentation

README

Excerpt

记忆与个性化架构 (Memory System)

R — 原文 (Reading)

Claude Web: userMemories 注入 + memory_user_edits tool + 选择性应用规则 + 静默归因 + 边界示例 Claude Code: File-based persistent memory with typed memories (user, feedback, project, reference) + MEMORY.md index Claude Opus 4.7: "NEVER reference sensitive memories in unrelated contexts" + bad example (proactively mentioning deceased pet) GPT-4o/GPT-4.5: bio tool for persistence + sensitive data prohibition FlintK12: Pedagogical memory (interests, preferences, grade level) + mandatory create_memory call Gemini CLI: save_memory tool + GEMINI.md files for project context

I — 方法论骨架 (Interpretation)

记忆系统的核心设计模式围绕"生命周期管理"和"边界控制"两个轴展开：

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Memory System

What else does kangarooking publish alongside Memory System?
Memory System is one of 15 skills that DirSkills catalogs from kangarooking/system-prompt-skills, the repository it ships in. Its siblings there include Agent Delegation, Citation System and Code Engineering. Each one is a separate skill with its own page in this directory, installs the same way Memory System does, and is maintained by kangarooking in that same repository. The rest of the collection is listed on the kangarooking/system-prompt-skills page.
How does Memory System compare to other AI Engineering skills?
Memory System ranks #3049 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Memory System against them. Open each page to compare what they document and how they install.