Agent Memory Patterns in Cognitive Science and AI Systems
Memory shapes how humans think and how AI agents act. Without it, an agent only responds to the current input; with it, it can keep context, recall past actions, and reuse useful knowledge. AI memory spans short-term, episodic, semantic, and long-term memory, each with different design trade-offs around storage, retention, retrieval, and control. In this article, we’ll explore agent memory patterns, a practical bridge between cognitive science and AI engineering.
Agent Memory Patterns in Cognitive Science and AI Systems
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