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AWS enters the context layer race with a graph that learns from agents, not manual curation

Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change that. Amazon on Wednesday entered the space, announcing a series of three product

AWS enters the context layer race with a graph that learns from agents, not manual curation
VentureBeat โ€” 17 June 2026
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Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change that. Amazon on Wednesday entered the space, announcing a series of three products it's positioning as a context intelligence stack for AI agents. The centerpiece is AWS Context, a new knowledge graph service that gets smarter through agent usage over time. AWS also announced the general availability of Amazon S3 Annotations and a preview of skill assets in AWS Glue Data Catalog. The context layer is now a contested architectural category with no shortage of options from different vendors. AWS is entering that market with a different architectural premise: that the graph should learn from how agents use it automatically, without human re-curation. "Your agents now get smarter without you having to rebuild anything from scratch," said Swami Sivasubramanian, vice president of Agentic AI at AW

This report comes from VentureBeat. The story centres on AWS enters the context layer race with a graph that learns from agents, not manual curation. Full coverage and background context is available at the original source. Readers seeking more detail on this developing topic are encouraged to follow updates from VentureBeat and related outlets covering this beat.

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