Agent governance is the practice of managing AI agents through the same role-based structure used for human team members. Rather than bolting on a separate oversight layer, agents get roles with clear accountabilities, domains, and policies that define what they can and cannot do.
This matters because traditional IT governance was not built for autonomous agents that act continuously and adapt over time. Treating agents as special exceptions creates blind spots. Treating them as role-holders makes their boundaries visible and evolvable.
Nestr lets you assign AI agents to roles within circles, set their domains and policies, and evolve their scope through governance proposals. The audit trail tracks every change, and the MCP integration gives agents direct access to their role context so they stay within bounds.
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