Extending .NET Agents with MCP and Agent Skills
How to extend Microsoft Agent Framework agents with MCP tools and Agent Skills, when to use each model, and what trust boundaries to keep around external servers, local files, and scripts.
Csharp
Structured Output in .NET Agents
Use structured output in Microsoft Agent Framework to turn LLM responses into typed C# objects that can be validated, tested, and used safely in application code.
Tools and Dependency Injection in Microsoft Agent Framework
How to expose small C# methods as Microsoft Agent Framework tools, pass application services through dependency injection, and protect side-effecting actions.
RAG with EF Core and pgvector
How to build RAG retrieval in .NET by storing embeddings in PostgreSQL with pgvector and querying them through EF Core.
Dynamic Agent Context with AIContextProvider
How to use AIContextProvider in Microsoft Agent Framework to inject dynamic memory, reduce tool-token overhead, add guardrails, and extend agent context at runtime.
Controlling Token Growth with Chat Reducers
How to control token growth in Microsoft Agent Framework with message-count and summarizing chat reducers, including setup, tradeoffs, and when each approach fits.
State Management and Chat History
How to manage short-term and persistent conversation state in Microsoft Agent Framework using AgentSession, StateBag, and a custom ChatHistoryProvider.
Chat vs. Streaming: Don't Keep Your Users Waiting
When to use RunAsync vs. RunStreamingAsync in Microsoft Agent Framework, and why streaming improves chat UX while blocking calls still fit structured outputs and background work.
Zero to First Agent
How to initialize the Microsoft Agent Framework, connect to Azure, OpenAI or local Ollama models and execute your first asynchronous agent run.
Microsoft Agent Framework: Introduction
How Microsoft Agent Framework builds on Microsoft.Extensions.AI, when it supersedes Semantic Kernel for new .NET agent systems, and where MCP, context providers, and workflows fit.