FROST: Open-Source Meta-Framework Aims to Govern Multi-Agent AI Systems

A developer has released FROST (Fractal Intelligence Agent and Family Governance Model), an open-source meta-framework designed to address governance gaps in multi-agent AI systems. Unlike existing tools such as LangChain or CrewAI, FROST focuses on defining permission boundaries, ensuring memory integrity, and enforcing constitutional rules across AI agents. The framework is built on four core components — Store, Skill, Agent, and SOP — which mirror biological analogies like cell nuclei and proteins to manage state and behavior. FROST implements a three-tier hierarchical governance model, with ancestor agents setting rules, parent agents coordinating tasks, and child agents executing atomic operations. The project is publicly available on Gitee, and notably, FROST's own family of agents was used to autonomously write and publish the announcement article.