AWS Releases Loom, an Open-Source Reference Platform for Governing AI Agents at Enterprise Scale
AWS just open-sourced the governance layer enterprises need to run AI agents at scale—no managed service attached, just the blueprint.
Why it matters
AWS is shifting from managed services to reference architectures, letting enterprises build agent governance on their own terms. This matters because agent proliferation at scale requires identity, delegation, and compliance controls—and AWS is making the pattern public rather than proprietary.
The key facts
6 to knowAWS Loom: open-source reference platform (AWS Labs)
Built on Strands Agents and Bedrock AgentCore Runtime
Implements RFC 8693 token exchange for identity propagation
Features: delegated actor chains, config-driven deployments, mandatory tagging
Positioned as reference example, not managed service
Published July 2026
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: AWS released Loom, an open-source reference platform on AWS Labs for governing AI agents at scale. Built on Strands Agents and Bedrock AgentCore Runtime, it implements RFC 8693 token exchange for identity propagation through delegated actor chains, config-driven deployments without runtime code…