Python dominates AI agent development—but it's a nightmare in enterprise. Integrating Python agents with your Java/Kotlin infrastructure means building brittle bridges, managing separate deployments, and praying your agents don't hallucinate away your business logic.

Koog changes the game. Built natively for Kotlin and the JVM, it lets you build sophisticated multimodal agents that integrate directly with your existing systems. No MCPs. No Python interop headaches. No custom workarounds.

But what really sets Koog apart? Enterprise features that actually matter: automatic checkpointing and state restoration on every graph node, so that long-running agents can pause and resume without losing context. Tool call side effects and rollbacks that let you recover gracefully from agent mistakes without expensive re-runs. Built-in observability with LangFuse so you can actually see what your agents are doing.

We'll build a real, production-grade AI agent live on stage—from zero to enterprise-ready—showing you how these features eliminate months of custom engineering. By the end, you'll see why the JVM is where intelligent agents belong.