This paper presents an innovative homeostatic agent architecture, which we named HOmeostatic Regulation Architecture (HORA), that redefines multi-dimensional homeostatic regulation as a cornerstone for adaptive decision-making and behaviour in autonomous systems. Unlike conventional frameworks focusing on a narrow range of low-level physiological parameters, our approach integrates a broader range of perceptual dimensions into a cohesive homeostatic space. The architecture facilitates agents in assessing their states against established setpoints and guiding behaviour through internal adaptations based on comprehensive homeostatic signals. Notably, the architecture enables the emergence of emotional behaviour as natural action tendencies, fostering adaptive and context-sensitive behaviours. The proposed model is experimentally validated through a foraging agent simulation in a grid world, demonstrating the agent’s ability to balance energy consumption, food storage, and response to harmful stimuli. This work proposes a novel view of homeostatic principles and their relationship with emotions in agent design, presenting a scalable framework that enhances the development of robust, autonomous systems.