During the last decade, the mobile application market has grown steadily thanksto the massive use of smartphones and the emergence of cloud computing foroffloading computation tasks and improving the quality of experience. Nevertheless, the increasing amount of information exchanged, the stringent requirements of many IoT applications, and the need for these applications to adapt their behaviour in real time to the user’s context set these architectural assumptions a challenge. Paradigms such as mobile, mist, and edge computing have recently been proposed to exploit the computational and storage capabilities of current smartphones and IoT devices in order to onload some tasks onto them, reducing the overhead on both the cloud and the network. Currently, the application of these paradigms requires skilled developers as there lack standards and tools facilitating their development.This communication introduces Human Microservices as a framework facilitating the deployment of APIs on companion devices in order to provide personal and updated information that can be consumed by other entities. The framework improves the integration of humans in the IoT loop and facilitates the deployment of computation units in devices closer to end users. The proposed framework is based on existing standards in order to improve software quality and shorten the learning curve.