ZenML's open-source Kitaru turns production agent traces into replay-based eval loops

strickvl · x · 2026-08-18

The ZenML team launched a major update to Kitaru, an open-source framework for replay-based AI agent evals.

The premise: thousands of agent traces sitting in production are doing nothing. Kitaru ingests traces from Langfuse, Braintrust, or any OTel source, investigates what went right or wrong, groups recurring failures into cohorts, and builds evaluators around them. You can then replay those same real cases against a different model, prompt, context, or agent setup and see what would have changed.

The flow: wrap an existing agent with KitaruAgent, import traces, have your coding agent read 20 runs and define cohorts, then run comparison experiments (the demo shows 90/90 failures dropping to 4/90). The same experiment can run on every commit to guard against regressions. Free and open source.

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