# Amazon — Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors

- Company: Amazon (amazon.com)
- Announced: 2026-10-01T17:34:56+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/build-agent-memory-with-nvidia-nemo-agent-toolkit-and-amazon-s3-vectors/
- Record: https://forck.live/items/15619-build-agent-memory-with-nvidia-nemo-agent-toolkit-and-amazon-s3-vectors
- Subject: Bedrock / Nova

Amazon published a guide showing how to use Amazon S3 Vectors as a persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT) on Amazon EKS. The implementation involves creating an S3 Vectors bucket and index, implementing a custom MemoryEditor plugin, and configuring the agent workflow. NAT's memory subsystem stores conversation history, user preferences, and long-term knowledge across agent invocations.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/build-agent-memory-with-nvidia-nemo-agent-toolkit-and-amazon-s3-vectors/:

> NAT includes a dedicated memory subsystem designed to store and retrieve conversation history, user preferences, and long-term knowledge across agent invocations. The memory module is extensible: you create custom memory providers (backends) by implementing NAT's plugin interface.

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