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AgentCore Memory Lifecycle Policies

Designing lifecycle policies for AgentCore memory

官方一手AWS Machine Learning Blog@Akarsha Sehwag
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Why we picked it

Available now in AWS Singapore region, this solution helps businesses manage AI agent memory compliance and quality without custom development.

Amazon Bedrock AgentCore accumulates outdated memories that degrade quality and create compliance risk. AWS recommends implementing nightly workflows using AWS Step Functions to score, consolidate, and prune agent memories. The solution includes a deployable AWS CDK stack for implementing these lifecycle policies.

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Original · AWS Machine Learning Blog

Designing lifecycle policies for AgentCore memory

Long-running AI agents accumulate outdated memories that degrade quality and create compliance risk. Learn how to design memory lifecycle policies for Amazon Bedrock AgentCore: scoring, consolidating, and pruning agent memories on a nightly AWS Step Functions workflow, with a deployable AWS CDK stack.

#AgentCore#Amazon Bedrock#AWS Step Functions#memory management#AI agents

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