I stopped trusting AI agents to “do the right thing” - so I built a governance system

I got tired of trusting AI agents. Every demo looks impressive. The agent completes tasks, calls tools, writes code and makes decisions. But under the surface there’s an uncomfortable truth. You don’t actually control what it’s doing. You’re just hoping it behaves. Hope is not a control system. So I built Actra. And I want to be honest about what it is, what it isn’t and where it still breaks. The core idea Actra is not about making agents smarter. It’s about making them governable. Most systems today focus on: what agents can do Actra focuses on: what agents are allowed to do what must never happen and what should trigger intervention Because AI failures are not crashes. They are silent, plausible and often irreversible. How it works Actra sits between the agent and the world. Every action goes through a control layer: tool calls API requests decisions with side effects Before execution, Actra evaluates: Is this action allowed? Is the context safe? Does this violate any policy? If yes