Embodied.cpp introduces a portable inference runtime designed for deploying Embodied AI models, including vision-language-action (VLA) and world-action models (WAMs), across heterogeneous edge devices. It addresses fragmented deployment challenges by eliminating model-specific Python stacks and robot-side glue code, focusing on multi-rate execution within closed-loop control