Agent Workflows on the JVM: Typed, Observable, and Composable
Three properties separate toy agent frameworks from real ones. Here’s how to get type safety, observability, and composability for multi-agent systems on the JVM.
Three properties separate toy agent frameworks from real ones. Here’s how to get type safety, observability, and composability for multi-agent systems on the JVM.
The demo works. Shipping it is a different story. Here’s what production multi-agent systems actually need – observability, error handling, cost control, review gates, and testing – and how to get it all in Java.
You don’t need Python to build multi-agent AI systems. Here’s a hands-on walkthrough building sequential pipelines, hierarchical teams, parallel workflows, and typed outputs – all in Java.
The AI agent ecosystem is overwhelmingly Python-first. Java teams deserve better. Here’s what multi-agent orchestration should actually look like on the JVM.
Flat task lists handle sequential pipelines well, but they can’t express parallel workstreams where each workstream has its own internal task sequence and a defined convergence point. Phases fix that.