Agent Memory Patterns in Cognitive Science and AI Systems

Short summary

AI agents require memory to maintain context, recall past actions, and reuse knowledge. The post examines four memory types—short-term, episodic, semantic, and long-term—each with distinct design trade-offs in storage, retention, retrieval, and control. Understanding these patterns is essential for building intelligent, contextual AI systems.

• •Memory enables agents to progress beyond stateless request-response behavior
• •Four memory types exist with different storage, retention, and retrieval trade-offs
• •Proper memory design is critical for building contextual, intelligent systems

Generated with AI, which can make mistakes.