Cascai is a Python library that implements regime-aware Hidden Markov Model (HMM) scoring specifically designed for multi-agent systems. It enables more accurate evaluation of agent behavior by accounting for shifts between different operational regimes or contexts. The package is intended for AI researchers and engineers building or analyzing complex multi-agent applications.
cascai is an AI & ML project. Accurately scoring and evaluating behavior in multi-agent AI systems that operate across changing regimes or environments. cascai is an open-source project aimed at AI researchers and developers. The project is open source (MIT). cascai is available on the command line.
Behind cascai is Yoav Badusa, and it first shipped in 2026. Key capabilities include HMM Scoring, Regime Detection, and Multi-agent Evaluation.
Summary written by a language model from the project’s public pages.
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