Agentic AI Patterns for .NET Developers

Master the Microsoft Agent Framework through proven design patterns, implemented in C# for enterprise .NET applications.

Blog

New to DotNetAgents? Set up your environment first, then dive into the patterns.

INTRO Blog

Microsoft Agent Framework

Why building custom agents gives you more control than MCP servers, and how to get started

Available SETUP Blog

Setting Up the Agent Environment

Configure your LLM provider: Ollama (free, local), OpenAI, Azure OpenAI, or OpenRouter

Start Here LIB Blog

BenchmarkLlm Library

Systematically benchmark, evaluate, and compare LLM agents with metrics and LLM-as-Judge

Available

Patterns

Agentic AI design patterns implemented in C# with Microsoft Agent Framework.

01

Prompt Chaining

Sequential LLM calls where output feeds the next prompt

Available 02

Tool Use

AI agents calling external functions to interact with databases and APIs

Available 03

Routing

Conditional logic to select execution paths based on input analysis

Available 04

Model Context Protocol

Connect AI agents to external tools through a standardized interface

Available 05

Parallelization

Running multiple agent tasks concurrently with fan-out and fan-in patterns

Available 06

Reflection

Iterative generate-critique-refine loops using group chat orchestration

Available