User preference memory strategy - Amazon Bedrock AgentCore

User preference memory strategy

The UserPreferenceMemoryStrategy is designed to automatically identify and extract user preferences, choices, and styles from conversational data. This lets your agent to learn from interactions and builds a persistent, dynamic profile of each user over time.

Examples of insights captured by this strategy include:

  • A customer's preferred shipping carrier or shopping brand.

  • A developer's preferred coding style or programming language.

  • A user's communication preferences, such as a formal or informal tone.

By leveraging this strategy, your agent can deliver highly personalized experiences, such as offering tailored recommendations, adapting its responses to a user's style, and anticipating needs based on past choices. This creates a more relevant and effective conversational experience.

Default namespace

/strategies/{memoryStrategyId}/actors/{actorId}