Most agent frameworks require you to define agent personas before you can do any work. The central insight behind AgentEnsemble v2 is that the agent is usually accidental complexity – the task is the actual unit of work.
When your agent workload is “do the same thing to a list of items and combine the results,” you need MapReduce – not a loop. Here’s how to do it with typed, parallel agent ensembles in Java.
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.
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.
