Building .NET Multi-Agent Graphs Using Microsoft Agent Framework and DuckDB

On November 11, 2026, at 08:55, the AI section of DEV Community published an English-language technical article titled "基于 Microsoft Agent Framework 与 DuckDB 构建 .NET 多智能体图". Its central topic is how to combine Microsoft Agent Framework with DuckDB within the enterprise .NET ecosystem to build a multi-agent graph, covering both the architectural design and the implementation approach. The article argues that generative AI is often associated with Python, but in corporate systems that demand strict typing, high performance, governance, and microservices, the .NET (C#) ecosystem offers a solid and mature architectural foundation. In the article's framing, the piece provides a technically valuable reference for teams building enterprise-grade intelligent systems in C#.

According to the article, the analysis focuses on DecisionFlow.cs, described as the intelligent core of the Olist.Agents project. Olist.Agents itself is an academic project developed for the delivery of a graduate-level Tech Challenge. The article presents this work as a practical reference for building enterprise-grade intelligent systems with C#.

The piece also highlights the role of DuckDB within the multi-agent architecture, positioning it as the underlying data infrastructure that supports how the agent graph organizes and operates on data in a .NET enterprise environment. As of now, only this single piece of coverage has been collected, and there is no further reporting on subsequent developments, updates to the project, or community response. The event therefore remains at the stage of the design and implementation approach described in this article.