Hi everyone,
I’m sharing CORE-RTH, an open-source AI control plane and cognitive kernel for orchestrating governed agent systems.
Repository:
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:
- positioning the project as an AI control plane / governed runtime
- what examples would make the repo easier to evaluate
- governance patterns people find useful in real agent systems