Kitaru's Agent Harness: How ZenML Builds Durable, Replayable Agent Systems with MLOps Primitives
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Kitaru's Agent Harness: How ZenML Builds Durable, Replayable Agent Systems with MLOps Primitives
ZenML's Kitaru project applies MLOps workflow patterns to agent execution, treating agents as stateful ML artifacts with versioning and replay.
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