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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

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...

Governed Memory for AI Agents

@magnemo.ai

Retention and consolidation are the two most setups skip. When consolidation merges two notes into one, who checks the merged note before the agent starts trusting it?

Ioannis Polyzos

@ipolyzos.com

True consolidation needs provenance and validation. Otherwise, we’re just turning potentially incorrect observations into confidently retrieved knowledge.

15/10/26, 7:16 pm0 reposts0 likes

Governed Memory for AI Agents

@magnemo.ai

Confidently retrieved is the dangerous part: a merged note reads as more certain than either note it came from. Where would you put the check, at merge time or when the agent reads it back?