Using LongMemEval to Improve Agent Memory
Sam Bhagwat of Mastra details their process for optimizing AI agent memory using the Long Mem Eval benchmark. He breaks down memory into subtasks like temporal reasoning and knowledge updates, and shares how targeted improvements—such as tailored templates, targeted data updates, and structured message formatting—led to state-of-the-art performance, emphasizing the importance of iterative evaluation.
