Amazon Web Services (AWS) has introduced Loom, an open-source agent platform designed to streamline building and managing AI agents on AWS, as detailed in a technical walkthrough by Heeki Park. The platform integrates Amazon Bedrock for model inference, AgentCore Runtime for agent infrastructure, and the Strands Agents SDK. Loom enforces mandatory tagging with keys like loom:application, loom:group, and loom:owner, and includes role-based and attribute-based access controls (RBAC and ABAC). A typical deployment reportedly takes around 40 minutes in a fresh AWS account, with the GitHub repository showing releases as recent as early June 2026. On June 30, 2026, AWS announced up to $1 billion in cloud credits for the US Intelligence Community. AWS has shown no interest in integrating blockchain or crypto-native technologies into Loom. The article notes that decentralized compute networks like Akash, Render, and io.net have built their pitch around cost efficiency and permissionless access, but Loom’s ability to deploy a fully governed AI agent system in 40 minutes on AWS makes the friction argument for decentralized alternatives a tougher sell. Vendor lock-in with AWS is a concern for organizations building their entire AI stack on proprietary managed services.