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.

Lilian Weng's seminal deep-dive into the architecture of LLM-based autonomous agents, covering planning (CoT, ToT, self-reflection), memory systems (sensory, short-term, long-term), and tool use as the three pillars of agent design.