Multi-agent systems are gaining traction in enterprise AI, but building them reliably requires a solid engineering foundation. This article introduces the Harness engineering specification, a structured methodology for designing and orchestrating multi-agent interactions. The author details a core architecture that supports attribute-based tool registration, enabling agents to dynamically discover and invoke capabilities. A procurement workflow demo illustrates how multiple agents collaborate to complete a complex business process. The article also outlines a roadmap for future enhancements, including a pre-built enterprise tool library and declarative HTTP-based agent communication. For developers and architects building production-grade multi-agent systems, this specification offers a practical, scalable approach that bridges the gap between experimental AI and enterprise deployment.
This article presents a structured approach to implementing multi-agent interactions using the Harness engineering specification. It details core architecture, tool registration, and a procurement workflow demo, offering a blueprint for enterprise-grade multi-agent systems.