DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automation

It is a unified, open-source toolkit from HKUST that aims to make the design of the 'agent harness' for LLM agents in data-science automation explicit and reproducible, by decomposing it into four core layers.

Unlike current solutions that leave harness design implicit and non-standardized, DS-Lighting provides a unified framework that allows for fair comparison between different agents and models, reduces system-level errors, and increases result reliability and reproducibility.

Yes, especially for organizations testing or deploying AI agents for data analysis tasks. The tool provides a clear standard for evaluation and comparison, reducing risks and speeding up development cycles, and it is freely available as open source.