Developer Launches Open-Source Workbench to Evaluate and Refine AI Agent Behavior
A developer building AI systems within the Chase ecosystem has released Agent Review Studio, an open-source, local-first tool for evaluating AI agents and agent harnesses. The platform allows engineers to inspect not just an agent's final output but its full execution trace, including extracted claims, source evidence, proposed actions, and memory candidates. Users can create versioned workspaces, label failures, score runs across five quality dimensions, and compare baseline versus candidate harness performance. The tool does not modify model weights directly; instead, it generates trusted evaluation data that can later feed into separate fine-tuning pipelines. Version 1.5.0 is publicly available on GitHub under the Apache-2.0 license.
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