A practical breakdown of memory architecture for multi-agent systems — covering four memory categories (working, episodic, procedural, semantic), implementation approaches from file-based context to MCP-backed databases and RAG with pgvector, plus advanced techniques like memory distillation and semantic conflict resolution.

Google's comprehensive whitepaper distinguishing agents from plain models, explaining how tools, orchestration layers, and cognitive architectures combine to create capable AI agents.