Oconee Runtime: Govern what AI agents can actually do.

Hey Product Hunt 👋 I’m Henry, founder of Oconee. Over the last several months, I’ve been thinking about a shift that I believe will create a major challenge for enterprises: AI doesn’t just generate anymore. It acts. AI tools and coding agents can now write code, modify files, run commands, install dependencies, interact with repositories, and take actions across company systems. That raised a question for me: How do organizations embrace these tools without giving AI agents unrestricted freedom to act? That’s why I built Oconee Runtime. Runtime gives security and engineering teams visibility into AI activity and a policy layer for governing actions based on context and risk. An action that might be acceptable in a development environment could generate a warning, while that same action against a critical repository could be blocked. And afterward, teams have a record of what happened, where it happened, what policy applied, and what decision was made. This is our first release, and I’m especially interested in feedback from developers, engineering leaders, security teams, and anyone deploying AI agents inside an organization. What are you seeing as AI agents become more capable inside your company? I’ll be here throughout launch day answering questions. Thanks for checking out Oconee Runtime. 🙏