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Amazon Web Services introduced memory lifecycle management for AI agents using AgentCore memory on Amazon Bedrock, with a deployable architecture using AWS Step Functions and Amazon Bedrock to run nightly lifecycle workflows. The solution includes TTL-based expiration, relevance decay scoring, and consolidation policies to manage agent memories.
From the source
In this post, we introduce memory lifecycle management for AI agents: the practice of systematically scoring, consolidating, and pruning agent memories over time. We walk through a deployable architecture using AgentCore memory (a capability of Amazon Bedrock AgentCore), AWS Step Functions, and Amazon Bedrock to run a nightly lifecycle workflow.
aws.amazon.com