New serverless pattern - agentcore-memory-cdk#3159
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Deploy Amazon Bedrock AgentCore Memory with an AWS Lambda function that stores conversations, retrieves relevant context via semantic search, and generates personalized responses using Amazon Bedrock. Two-step composition: Memory provides user context recall, Bedrock provides reasoning and personalization. Neither works alone for this use case — memory without inference is just storage, inference without memory has no personalization.
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Description
Amazon Bedrock AgentCore Memory with AWS Lambda. Stores conversation events and retrieves memory records via semantic search, enabling AI agents to maintain persistent context across sessions.
Architecture
AWS Lambda → Amazon Bedrock AgentCore Memory (store events / retrieve records)
Deployed and tested
What makes this different