概要
The Memory Systems skill provides a comprehensive framework for building AI agents that maintain continuity and reason over accumulated knowledge. It guides developers through the context-memory spectrum, covering working, short-term, and long-term storage layers. By implementing advanced patterns like Entity Tracking and Temporal Knowledge Graphs, this skill enables agents to preserve complex relationships, manage time-sensitive facts, and significantly reduce hallucinations. Whether you are optimizing retrieval latency with Zep or implementing GraphRAG for better reasoning, this skill provides the architectural blueprints for production-grade agent state management.
