Memory Systems for Long-Running Agents: Episodic to Procedural

A new approach to memory systems for long-running AI agents transitions from episodic to procedural memory, enabling agents to accumulate knowledge and skills over days. This advancement addresses the limitations of flat context windows in single-session chatbots, improving agent performance in extended tasks.

A single-session chatbot can get away with a flat context window. A long-running agent — one that works across days, accumulates tool… Continue reading on Towards AI »