Purpose. The .NET Framework technology stack is widely used in agricultural research for mathematical modeling of agroecosystems. One of the most relevant areas of research is ensemble computations. Conducting such research requires a lightweight remote procedure call (RPC) mechanism that enables efficient network communication between applications. Methods. .NET Framework technology stack with previously developed RW.Ring platform libraries; object-oriented programming; techniques for working with TCP and HTTP network protocols; methods for building service-oriented architecture. Results. The developed module supports various methods of network interaction: remote procedure calls (RPC) and binary commands, as well as their integration into the client-server architecture. The module's advantages over WCF technology are highlighted: high performance, code compactness, minimization of computational resources, and flexibility in adapting to various tasks. The module supports TCP and HTTP protocols, enabling developers to tailor it for processing large data volumes, including serialization and user authentication. Examples of the module's application in agroecosystem research are provided, where it enables analysis of climate change impacts on crop yields while reducing the costs of field experiments. The module simplifies integration into distributed systems, optimizes resource usage, and supports real-time field research. The scientific novelty lies in developing a lightweight alternative to traditional network interaction technologies, reducing overhead and enhancing performance. A more universal binary command mechanism is proposed to complement the traditional service-oriented architecture. Its practical significance is evident in improving the efficiency of researchers handling large datasets and supporting decision-making in agriculture. The module integrates with remote sensing systems for automated photo analysis, expanding its applications in the agroindustrial sector. The RW.Ring platform significantly contributes to the development of digital technologies for agriculture, offering an innovative approach to organizing distributed computations and network interactions, making it a promising tool for international scientific collaborations.