Moyai

This system monitors and analyzes artificial intelligence agent logs to detect anomalies, failures, and deviations in performance before they impact end-users. Its main features include structural clustering that groups behaviors at scale, semantic outlier detection that highlights significant deviations, and customizable evaluators that assess whether detected anomalies constitute real problems, all integrated seamlessly with existing observability tools. It aims to help developers, data scientists, and operations teams proactively maintain AI reliability, troubleshoot issues efficiently, and improve user experience by preventing disruptions through early detection and automated incident management.

Moyai can be found in Application Monitoring & Observability categories.