Built-in strategies
AgentCore Memory lets you add the following built-in memory strategies:
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Semantic memory strategy
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User preference memory strategy
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Summary strategy
Note
For semantic and user preference memory strategy, only USER and ASSISTANT role messages are processed for long term memory extraction and messages with rest of the role types are skipped. For summary strategy all roles are processed.
Each memory strategy provides a structured output format tailored to its purpose. The output is not uniform across strategies, because the type of information being stored and retrieved differs:
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Semantic memory strategy returns facts as JSON objects, each representing a standalone personal fact about the user.
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User preference memory strategy returns JSON objects with context, preference, and categories, making it easier to capture user choices and decision patterns.
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Summary strategy returns XML-formatted output, where each
<topic>tag represents a distinct area of the user's memory. XML lets multiple topics to be captured and organized in a single summary while preserving clarity.
This maintains that each memory type exposes only the fields most relevant to its strategy. You can find the output format for semantic and user preference strategy in the extraction output schema and for summary strategy in the consolidation output schema.
