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Memory System Design provides expert guidance on building the persistence layer for AI agents, enabling them to retain knowledge across sessions and reason over complex data structures. It covers the full spectrum of memory layers—from volatile working memory to permanent temporal knowledge graphs—offering implementation patterns for vector stores, graph-based RAG, and time-aware data tracking. This skill is essential for developers building sophisticated agents that must learn from past interactions, maintain entity consistency, and avoid the limitations of simple context windows.
