01Module 06: Agent MemoryHow agents store, retrieve, and manage knowledge across interactions - working memory, episodic memory, semantic memory, procedural memory, and cross-session persistence.02Four Types of Agent MemoryCognitive science meets AI engineering: working, episodic, semantic, and procedural memory implemented in production agent systems.03In-Context Working MemoryManaging the context window as working memory: token budgeting, sliding windows, summarization, and the lost-in-the-middle problem.04Episodic Memory with Vector StoreImplement agent episodic memory using vector databases: storing, retrieving, consolidating, and forgetting past experiences at scale.05Semantic Memory and Knowledge GraphsStructured world knowledge for agents: building and querying knowledge graphs with entity extraction, relationship traversal, and hybrid vector+graph retrieval.06Procedural Memory and Learned SkillsHow agents store and reuse successful action sequences: skill formation, retrieval, composition, and refinement from execution feedback.07Memory Compression and SummarizationHow to keep agents functional across days-long tasks by compressing memory intelligently - preserving what matters, discarding what does not.08Cross-Session PersistenceHow to build agents whose memory survives restarts - architecture, storage backends, session restoration, and privacy-aware memory pruning for production systems.
