Google, AWS offer different AI agent management approaches

Google and Amazon Web Services are presenting contrasting strategies for managing AI agents in enterprise environments. Google's Gemini Enterprise Platform focuses on a centralized control plane for governance and policy enforcement, akin to Kubernetes. In contrast, AWS Bedrock AgentCore emphasizes velocity through a harness-based approach, optimizing for faster deployment by configuring agents rather than building them from scratch. This divergence highlights a split in the AI agent stack, with Google prioritizing control and AWS aiming for speed. Both approaches aim to address the emerging challenge of 'state drift' in long-running AI agents, ensuring reliability as these systems move into production.