Semantic memory strategy - Amazon Bedrock AgentCore

Semantic memory strategy

The SemanticMemoryStrategy is designed to identify and extract key pieces of factual information and contextual knowledge from conversational data. This lets your agent to build a persistent knowledge base about the entities, events, and key details discussed during an interaction.

Examples of facts captured by this strategy include:

  • An order number (#XYZ-123) is associated with a specific support case.

  • A project's deadline of October 25th.

  • The user is running version 2.1 of the software.

By referencing this stored knowledge, your agent can provide more accurate, context-aware responses, perform multi-step tasks that rely on previously stated information, and avoid asking users to repeat key details.

Default namespace

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