The 7 Types of Agent Memory: A Technical Guide for AI Engineers

The article presents a comprehensive guide on the seven types of agent memory for Large Language Models (LLMs), which include working, semantic, episodic, procedural, retrieval, parametric, and prospective memory. It details the storage mechanisms, operational contexts, and implementation strategies for each memory type, supplemented with a comparison table and Python code examples. This resource is crucial for AI practitioners aiming to enhance LLMs' capabilities by incorporating memory to improve statefulness and contextual understanding.