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Kitaru's Agent Harness: How ZenML Builds Durable, Replayable Agent Systems with MLOps Primitives

Most agent frameworks treat execution as ephemeral scripts. You run a loop, it calls tools, maybe it logs to a file, then it exits. ZenML's new Kitaru project takes a different approach: wrap agents in the same durable infrastructure you'd use for batch ML pipelines. That means versioned artifacts,…

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  1. 2026-11-03 20:07 · DEV Community — AI
    Kitaru's Agent Harness: How ZenML Builds Durable, Replayable Agent Systems with MLOps Primitives

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