Honeybees (Apis melifera) are crucial pollinators whose survival depends on their ability to regulate the microclimate of the hive. Honeybees have evolved collective thermoregulatory behaviors—such as clustering, metabolic heat generation, and spatial reorganization—to maintain stable internal thermal conditions that define the spatial architecture of their colonies. These spatial and thermal organizations are highly dynamic, yet they remain largely invisible and difficult to engage with, particularly during colder seasons. While environmental data from hives has become increasingly accessible, there is a lack of tools that translate this information into actionable spatial and material strategies capable of influencing the hive itself, and failure to intervene could lead to increased colony mortality, which affects agricultural productivity in the spring across sectors. This thesis presents a novel architectural thermal microclimate visualization and modulation pipeline for apiculture. The research develops a volumetric modeling framework that translates hive thermal conditions into three-dimensional spatial representations, enabling the identification of core, mantle, and gradient regions within the colony. These volumetric models are then used as design drivers within a parametric and computational system that generates knitted textile architectures, where material properties such as porosity, density, and thickness are locally varied in response to microclimate conditions. Through this workflow, the work positions architectural computation as a means of visualizing biological systems, and as an operative tool for modulating environmental performance. The work proposes a new role for textiles as mediators between living systems and their thermal environments, expanding the scope of architectural tools into ecological and biological domains, and showcases new methods of public engagement for apiculture for increased climate awareness.