CORE-RTH: AI control plane for governed agent systems

Hi everyone,

I’m sharing CORE-RTH , an open-source AI control plane and cognitive kernel for orchestrating governed agent systems.

Repository:

github.com

GitHub - rthgit/CORE-RTH: AI control plane and governed runtime for...

AI control plane and governed runtime for multi-agent systems, tool execution, and real-world automation.

CORE-RTH is designed for scenarios where AI agents do more than chat: they coordinate multiple LLMs, tools, browser automation, messaging channels, and potentially real-world systems such as IoT, robotics, and vehicles.

What CORE-RTH focuses on:

• multi-LLM orchestration
• governed tool execution
• policy enforcement and safety gates
• audit trails for critical actions
• browser and messaging bridges
• real-world integrations

What makes it different from typical agent frameworks is the focus on governance , auditability , and safe execution when agents interact with infrastructure or physical systems.

I’d especially appreciate feedback on:

1. positioning the project as an AI control plane / governed runtime
2. what examples would make the repo easier to evaluate
3. governance patterns people find useful in real agent systems