FROST Open-Source Framework Proposes Lineage-Based Governance for AI Agents

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An open-source project called FROST has been introduced to address what its developers describe as a governance gap in multi-agent AI systems, where accountability and memory continuity are largely absent. The framework is built around four core components — Store, Skill, Agent, and SOP — designed to be modular and combinable, drawing analogies to biological structures like cells and proteins. FROST enforces a three-tier hierarchical model of ancestor, parent, and leaf agents, with rules ensuring that higher-level memory is read-only and that constitutional rules cannot be bypassed by subordinate agents. Version 5.0, released in July 2026, expanded the architecture with a five-dimensional meta-model covering capability discovery, task orchestration, event analysis, platform integration, and versioned governance rules, backed by 197 test cases. The project is publicly available on Gitee and positions itself as a governance layer that complements existing frameworks like LangChain and CrewAI rather than replacing them.

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