FROST Framework Proposes Constitution-Based Governance for Multi-Generation AI Agents

FROST is an AI agent framework designed to address governance gaps left by popular tools like LangChain, CrewAI, and AutoGen, which rely on soft, prompt-level constraints rather than hard architectural rules. The framework enforces boundaries through four code-level mechanisms: a hierarchical read-only memory store, ancestor-validated SOP workflows, explicit generation limits on agent spawning, and selective output inheritance with audit logs. These controls ensure that even if a large language model hallucinates or attempts unauthorized actions, the system rejects the operation at the code layer rather than relying on instructions. The design is aimed at organizations running long-lived, compliance-sensitive agent systems where dozens of agents — some self-spawned — must operate within defined permission boundaries. FROST positions governance not as an add-on patch but as a core part of the system architecture from the outset.