TinyEngine is part of the MCUNet framework for tiny deep learning on IoT devices. It provides an inference runtime optimized for memory-constrained microcontrollers, supporting quantized neural networks and patch-based inference to fit within tight memory budgets. The library also enables on-device training under 256KB memory, with demos for person detection and face mask detection on OpenMV cameras.