AI agents require persistent memory to maintain context, learn from past interactions, and provide consistent responses over time. Consider a customer service AI agent deployed at a large ecommerce company. Without long-term memory, the agent would need to ask customers to repeat their order numbers, shipping preferences, and past issues in every conversation. This creates a frustrating experience where customers feel unrecognized and need to constantly provide context. With long-term memory, the agent can recall previous interactions, understand customer preferences, and maintain context across multiple support sessions, even when conversations span several days or weeks.
With the Letta Developer Platform, you can create stateful agents with built-in context management (compaction, context rewriting, and context offloading) and persistence. Using the Letta API, you can create agents that are long-lived or achieve complex tasks without worrying about context overflow…
