LangChain vs Microsoft Agent Framework

This article provides a detailed comparison of three major frameworks for building AI applications with large language models: LangChain, LangGraph, and Microsoft Agent Framework. It outlines their core strengths, such as LangChain's flexibility and extensive integrations, LangGraph's stateful multi-agent orchestration, and Microsoft Agent Framework's enterprise-grade .NET and Azure integration. The article highlights key differences in ecosystem fit, architecture, and target use cases, helping developers choose the right framework based on their environment and project requirements. It also notes that LangChain and LangGraph are often used together, and provides references to demonstration programs for each framework.