Agent memory isn’t just a vector store. It needs capture, retrieval, isolation, sharing, retention and consolidation—turning episodes into durable knowledge over time. Production agents don’t just need context. They need memory with a lifecycle. aws.amazon.com/blogs/machin... #AgenticAI #AI
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aws.amazon.comBuild agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors | Amazon Web ServicesLearn how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS). This post shows how NAT's memo...
I like that way of measuring it. It would be interesting to take it a step further and see whether the decision actually led to a better outcome. That could help agents continuously refine their lessons rather than just accumulate them over time.
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