GVNR is a local cost-control system for AI agents that monitors budget, loops, and permissions before execution. It caps spending per session and across fleets, pauses irreversible actions for human approval, and provides detailed audit trails of agent activity without requiring accounts or external services.
MIT-licensed open-source AI agent governance patterns provided as executable decision tables, a worked example, and Microsoft Agent 365 templates. Three patterns address agent identity ownership, fleet budget controls, and inventory reconciliation, sitting above infrastructure enforcement to answer governance questions that plumbing cannot.
AWS now supports spend limits, allowing developers to set monthly budget ceilings on projects with a minimum of $20 or a conservative estimate based on current usage. When a project reaches its spend limit, AWS pauses resources to prevent costs from exceeding the budget, with optional early controls to stop new resource creation or pause idle resources before the limit is hit.