Recently airflow sensors based on mechanical deformation mechanism have drawn extensive attention due to their favorable flexibility and sensitivity. However, the fabrication of highly sensitive and self-adaptive airflow sensors in a simple, controllable, and scalable method still remains a challenge. Herein, inspired by the wing membrane of a bat, a highly sensitive and adaptive graphene/single-walled nanotubes-Ecoflex membrane (GSEM) based airflow sensor mediated by the reversible microspring effect is developed. The fabricated GSEM is endowed with ultralow airflow velocity detection limit (0.0176 m s?1), fast response time (≈1.04 s), and recovery time (≈1.28 s). The SGEM-based airflow sensor can be employed to realize noncontact manipulation. It is applied to a smart window system to realize the intelligent open and close behaviors via a threshold control. In addition, an array of airflow sensors is effectively designed to differentiate the magnitude and spatial distribution of the applied airflow stimulus. The GSEM-based airflow sensor is further integrated into a wireless vehicle model system, which can sensitively capture the flow velocity information to realize a real-time direction of motion manipulation. The microspring effect-based airflow sensing system shows significant potentials in the fields of wearable electronics and noncontact intelligent manipulation.