Split agent memory into three layers — episodic, semantic, procedural — to capture measured accuracy gains

Digital Applied·medium signal

Production multi-agent systems in 2026 separate memory into episodic (temporally-indexed interaction history), semantic (distilled facts and entity relationships), and procedural (learned tool-call sequences that reliably solve a problem class). 2026 benchmarks attribute roughly +29.6pt accuracy to episodic memory and +23.1pt on multi-hop reasoning to procedural memory. The actionable move: store each layer distinctly and route retrieval per task type rather than dumping everything into one vector store.