Memory management in Lyzr agents is essential for maintaining context across interactions. By persisting relevant user data and conversation history, memory enhances the agent’s ability to provide coherent, personalized responses over time.

Key benefits:

  • Context Preservation: Recall previous user interactions, preferences, and details to maintain continuity.
  • Personalization: Tailor responses based on past behaviors or stated preferences.
  • Efficiency: Reduce redundant prompts by leveraging stored context, improving speed and accuracy.
  • Flexibility: Support both session-scoped and persistent memory modes to fit diverse use cases.

In the following pages, you will learn how to configure Short-Term and Long-Term memory in both Studio and via our RESTful API. Each memory type has its specific behaviors and best practices: