Agents
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Long-running AI agents accumulate outdated memories that degrade quality and create compliance risk.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,
Long-running AI agents accumulate outdated memories that degrade quality and create compliance risk.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.
Related
- Securing AI agents with temporal policies in Amazon Bedrock AgentCore
- Detecting silent agent failures with Amazon Bedrock AgentCore optimization
- Optimizing production agents with Amazon Bedrock AgentCore Observability
Source: AWS ML Blog | 2026-09-04