NVIDIA NeMo Agent Toolkit connects to S3 Vectors to build agent memory
What happened
On 2 October 2026, the AWS Machine Learning Blog reported that the NVIDIA NeMo Agent Toolkit (NAT) can connect to Amazon S3 Vectors through a custom memory provider, serving as a persistent memory layer for multi-agent systems and deployed on Amazon EKS. The report did not mention previous implementation methods or alternatives, nor did it give specific data on performance or cost. Current progress: the integration was disclosed by the official AWS blog, showing that NAT's memory provider mechanism can work with S3 Vectors to provide persistent memory for multi-agent systems and support running on Amazon EKS.
Written by AI from the reports · updated 24 min ago
Timeline
Follow the reports to see the event from each side.
- AWS Machine Learning BlogBuild agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors
In this post, we move from architecture to implementation. We show you 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) for full operational control.
Heat of this event
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