The components of agent memory

Anthropic has published a technical framework detailing the structure of memory systems for AI agents, categorizing them into sensory, working, and long-term storage components. By defining how models retrieve and retain information over time, this research provides a roadmap for developers looking to move beyond stateless interactions. This shift toward persistent memory architectures is a foundational step in enabling AI to perform complex, multi-step tasks that require context from past sessions or documents.