How to Choose the Right Memory Strategy for AI Agents

AI agents require different memory strategies depending on the task: short-term (session context), long-term (vector databases), episodic (interaction history) or semantic (general knowledge). The right choice depends on conversation length, personalisation needs and task complexity. A decision-tree framework is proposed to help developers select the most appropriate approach for their use case.