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memory-system

Design persistent AI memory architectures with CRUL lifecycle workflows.

154|38|Updated May 4, 2026
Search Tags:#personalization#memory#persistence#lifecycle#privacy#context-management#boundary
One-click install
npx skills add https://github.com/kangarooking/system-prompt-skills --skill memory-system-kangarooking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-system
Source: https://github.com/kangarooking/system-prompt-skills/tree/main/memory-system
Command: npx skills add https://github.com/kangarooking/system-prompt-skills --skill memory-system-kangarooking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designed to help AI systems manage long-term memory, including creation, storage, retrieval, application, and updates across sessions, while enforcing privacy boundaries.

Core Features & Use Cases

  • Lifecycle-driven design: define Create, Retrieve, Apply, Update (CRUL) workflows and cross-session memory behavior.
  • Typed memory taxonomy: categorize memories as user, feedback, project, or reference with distinct handling.
  • Silent application & boundary control: memories influence responses without explicit mentions and prevent leakage of sensitive data.
  • Use cases: personalized assistance, education, enterprise workflows, and product-context memory management.

Quick Start

Define memory types, create the CRUL lifecycle, and enable silent memory application with boundary controls.

Frequently Asked Questions about memory-system

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

FAQPage Schema
How do I design persistent AI memory across sessions?▼

Design persistent AI memory by defining typed memory categories and a CRUL lifecycle workflow that governs creation, retrieval, application, and updates across sessions.

What is silent memory application and how does it prevent data leakage?▼

Silent memory application allows memories to influence responses without explicit mentions, while boundary controls prevent the leakage of sensitive data across sessions.

How do I structure memory categories for personalized AI assistance?▼

Structure memory categories by typing memories as user, feedback, project, or reference, ensuring distinct handling for personalized assistance and enterprise workflows.

Does this approach work for enterprise memory governance?▼

Yes, this approach supports enterprise memory governance by enforcing clear lifecycle rules, privacy boundaries, and safeguards against memory misuse in consumer and enterprise contexts.

What are the limitations of cross-session memory retrieval?▼

Cross-session memory retrieval is constrained by privacy boundaries and typed taxonomies, requiring strict lifecycle governance to prevent unauthorized access or leakage of sensitive data.

How do I update long-term memory without losing context?▼

Update long-term memory by applying the CRUL lifecycle workflow, ensuring memories are retrieved, applied, and updated safely without losing existing context or leaking data.

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