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New serverless pattern - agentcore-memory-cdk#3159

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NithinChandranR-AWS wants to merge 1 commit into
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NithinChandranR-AWS:NithinChandranR-AWS-feature-agentcore-memory-cdk
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New serverless pattern - agentcore-memory-cdk#3159
NithinChandranR-AWS wants to merge 1 commit into
aws-samples:mainfrom
NithinChandranR-AWS:NithinChandranR-AWS-feature-agentcore-memory-cdk

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@NithinChandranR-AWS

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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

  • Stack deploys successfully in us-east-1
  • store action: creates conversation events (user + assistant messages)
  • retrieve action: queries long-term memory via semantic search
  • Uses built-in semantic extraction strategy

What makes this different

  • First pattern using AgentCore Memory L2 CDK construct
  • Zero infrastructure for persistent agent memory
  • Async extraction: short-term events automatically become long-term memory records

Deploy Amazon Bedrock AgentCore Memory with an AWS Lambda function that
stores conversation events and retrieves memory records via semantic
search. Enables AI agents to maintain persistent context across sessions.

Uses built-in semantic extraction strategy to automatically extract
long-term memory from short-term conversation events.
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3 participants