Agent-Skills.md

Agent Skills: Memory Systems for AI Agents

Implements progression from Vector RAG → GraphRAG → Temporal Knowledge Graphs. Use when designing persistent memory architectures for AI agent systems.

UncategorizedID: Git-Fg/thecattoolkit/architecting-memory

Author

Git-Fg

https://github.com/Git-Fg View all skills

Repository

Git-Fg/thecattoolkit

Git-FgLicense: MIT

1

Install this agent skill to your local

pnpm dlx add-skill https://github.com/Git-Fg/thecattoolkit/tree/HEAD/plugins/sys-agents/skills/architecting-memory

Skill Files

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plugins/sys-agents/skills/architecting-memory/SKILL.md

Skill Metadata

Name: architecting-memory
Description: "Implements progression from Vector RAG → GraphRAG → Temporal Knowledge Graphs. Use when designing persistent memory architectures for AI agent systems."

Memory Systems for AI Agents

Implements progression from Vector RAG → GraphRAG → Temporal Knowledge Graphs.

Architecture Selection

Start here to choose the right approach.

Decision Matrix: references/decision-matrix.md
Detailed Design Patterns: references/patterns.md

The Core Progression

Stage 1: Vector RAG (Semantic)

Stage 1: Vector RAG (Semantic)

Guide: references/vector-rag.md

Stage 2: GraphRAG (Relational)

Stage 2: GraphRAG (Relational)

Guide: references/graph-rag.md

Stage 3: Temporal KG (Time-Series)

Stage 3: Temporal KG (Time-Series)

Guide: references/temporal-kg.md

Specialized Approaches

CrewAI Memory Model

CrewAI Memory Model

Guide: references/crewai-approach.md

Technical Implementation

Tech Stack Options: references/tech-stack.md
Common Architectures: references/architectures.md