The Missing Operational Layer Between Agent Prototypes and Production (opens in new tab)

You've built a working AI agent. It runs locally. It handles tool calls. It reasons through problems. You demo it to your team and everyone's impressed. Then someone asks: "What happens when we deploy this to production?" That's when reality hits: agents in production aren't like stateless web services. They're stateful systems that carry conversation history, tool results, intermediate reasoning, and context across multiple turns. If your container restarts—routine deployment, VM replacement...