Reality Kernel – A causal containment sandbox for autonomous AI agents

Reality Kernel is a causal containment sandbox that isolates autonomous AI agents within a simulated environment, enforcing strict causal boundaries to prevent unintended real-world side effects. It is designed for AI safety researchers and developers building high-risk autonomous systems, enabling safe testing of agent behaviors without external impact. The project is interesting because it addresses the critical challenge of aligning powerful, self-directed AI with human intent by providing a verifiable, physics-grounded testing framework.