NEXO a governance-first runtime for AI agents (github.com)

NEXO has been announced as a revolutionary governance-first runtime framework designed to enhance the stability and capability analysis of AI agents under conditions of uncertainty. This framework introduces a novel concept of a stability frontier, which defines operational boundaries for agent behavior. Within this framework, agents are classified based on their operational state—healthy, defensive, or unstable—where maintaining behavior below a minimum risk threshold leads to unstable collapse, while operations above this threshold foster healthier agent functionality. The significance of NEXO lies in its shift from traditional agent frameworks that primarily focus on performance optimization to a more balanced approach prioritizing controllability and operational stability. By incorporating explicit governance gates, NEXO allows developers to manage potential risks effectively and conduct causal A/B analysis within set parameters. This not only enhances overall safety in AI implementations but also aims to standardize the measurement of agent stability amid increasing uncertainty, making it a crucial advancement for the AI/ML community focused on responsible and reliable AI governance.