AI agents are evolving fast. A few months ago, most teams were still experimenting with simple chatbots or retrieval pipelines. Now, companies are building systems where agents can reason across multiple steps, call tools, access databases, trigger workflows, and collaborate with other agents. That shift changes the infrastructure requirements completely. Once agents become stateful and autonomous, orchestration becomes a real challenge. Suddenly you’re not just managing prompts anymore you’re managing memory, tool permissions, execution flow, retries, observability, guardrails, and long-running workflows. This is where Agent Gateways are starting to emerge. Instead of treating agents as isolated scripts, Agent Gateways provide a centralized layer for managing how agents execute, communicate, and interact with tools at production scale. And honestly, this is becoming necessary much faster than many teams expected. What Is an Agent Gateway?…