A few weeks ago, I published an article titled
Getting Started with the Microsoft Agent Framework and Azure OpenAI – My First Five .NET 9 Samples,
where I walked through the foundational building blocks of the Agent Framework—basic agents, tool invocation, streaming output, and structured responses.
This article is the direct continuation of that series.
While my current work focuses on much more advanced multi-agent systems—where layered knowledge processing, document pipelines, and context-routing play a crucial role—I still believe that the best way to understand a new technology is through clear, minimal, practical samples.
So in this follow-up, I want to share the next set of examples that helped me understand the deeper capabilities of the framework.
These are Examples 06–10, and they focus on persistence, custom storage, observability, dependency injection, and MCP tool hosting.
Let’s dive in.
Example 06 — Persistent Threads: Saving & Restoring Long-Running Conversations
One of the major strengths of the Microsoft Agent Framework is the ability to maintain conversational state across messages, sessions, and even application restarts.
This is critical if you’re building:
- personal assistants
- developer copilots
- chat interfaces
- multi-step reasoning chains
- or anything that needs user-specific memory
In Example 06, the agent:
- Starts a new conversation thread
- Answers a developer-related question
- Serializes the thread using
thread.Serialize() - Saves the serialized state to disk (or any storage)
- Reloads it later
- Resumes the conversation with full continuity
Why this matters:
- Enables long-lived, multi-turn conversations
- You can manage per-user memory in your own storage
- Perfect for web apps, bots, and multi-agent orchestration
- Unlocks real “assistant-like” behavior
This is the first step toward user-level persistent AI.
Continue reading “Continuing with the Microsoft Agent Framework – Practical Examples 06–10 for Real-World Development”
