Designing lifecycle policies for AgentCore memory
- AWS 近 90 天出现 55 次
- 上一次：同一天稍早 · Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod
发生了什么
Long-running AI agents accumulate outdated memories that degrade quality and create compliance risk.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.
摘要按规则整理自下方来源原文
为什么在扩散
来源
一手来源
- Designing lifecycle policies for AgentCore memoryAWS Machine Learning