Agent-O-rama: build LLM agents in Java or Clojure

Agent‑o‑rama dropped and the Java–Clojure crowd came in hot, waving parentheses and shouting “finally!” It’s a build‑your‑own AI agent kit that runs on your own servers, with a slick UI, tracing, and testing baked in—think the popular LangGraph and LangSmith vibes, but for the Java Virtual Machine. The demo even spins up “analyst personas” to research topics (yes, someone asked it about film legend Billy Wilder), and the dashboard pops up at http://localhost:1974 for live peeking.

Then the drama: Python loyalists asked why we need another agent framework at all, accusing JVM folks of reinventing the wheel. JVM fans clapped back, saying this is the first time their world gets full‑stack rigor—testing, telemetry, streaming—without duct tape. Privacy die‑hards loved that everything’s self‑hosted on a Rama cluster, but licensing sparked spice: free for two nodes, pay to scale. Cue memes of “not another Python snake” and Clojure jokes about “summoning power from parentheses.” Skeptics poked the “agents everywhere” trend; optimists argued unpredictability in large language models means better monitoring is non‑negotiable. The project lead parachuted into the thread offering technical answers, which only fanned the flames—half the crowd demanded Kotlin support, the other half asked how this beats stitching together five observability tools. Either way, the JVM just fired a shot across Python’s bow, and the comments are chaos in the best way.