Researchers propose rMuscle, a real-time Vision-Language-Action (VLA) inference framework inspired by human muscle memory, which achieves 1.29-1.42X speedup on various tasks and maintains original success rates on real-world robots. This development is relevant to people building or operating AI agents, particularly those working with embodied AI and VLA models.