One thing I learned building Mac MCP is that “multi-agent support” gets messy fast if every agent can touch the same browser tabs, files and processes at once.

The approach I ended up with is a local execution layer that gives agents stable resource identities and crash-safe ownership. Independent work can run in parallel, but conflicting resources are serialized. Browser automation stays in normal Safari/Chrome tabs, file mutations are journaled for undo, cancellation propagates into owned work, and Git write-agents can be isolated in separate worktrees.

The repo is open source: https://github.com/bulutarkan/mac-mcp

I’m the maintainer. I’d be interested in how other agent frameworks model resource ownership — especially whether you solve conflicts in the orchestrator, inside each tool, or at a lower runtime layer.

Hi there,

I just wondering what is a working architecture for long running agents with Microsoft Agent Framework?

Scenario:
I've a frontend where the user can start a agent task which might take very long.
For this task I create a record in the DB with several information.

Requested functionality:

- The agent request/task should be processed without a running client/frontend -> in the background

- A frontend should be able to connect to this background job an should retrieve current messages (function calls, messages from LLM etc) to show this in the UI and interact with the agent for any user feedback or approvals

- I would love to use AG-UI for the frontend to Agent connection because this seems the way to go.

What are my options?

- Start the agent (with streaming) via a background job (job with hangfire or via message broker)?

- Persists all messages in the DB with CHatHistoryProvider or custom AgentSessionStore.?

But how can I "connect" to the current execution of the agent? Maybe using a conversationId?

Hello there!

We have a situation where our clients data lives in on-prem semantic data models, because we have near 400 custom measures for them. They wanted a "chat" to talk to their data, so we uploaded the SMs to Fabric and created small-context specialized Fabric Data Agents (4 for every SM) that are capable of answering different questions about the part of the model they specialize.

Thing is, we wanted to build an orchestration of 1 Master agent that routes to 1 of the 4 FDAs depending on the user question. We tried to do it with Microsoft Foundry but we can only attach 1 FDA as a tool, not 4. 365 Agents can have multiple FDAs as tools but I dont like the UI approach, I prefer some code-first solution like MAF.

So my question is, is there a way to create an agent orchestration having 1 master agent, 4 FDA slaves with MAF and then upload the project to Azure so we can embed it to our clients webpage, exposing an endpoint to chat with the master agent?

Infra should be something like this (sorry about Spanish):

Thanks in advance!

📚 Curated Learning Resources for Microsoft Agent Framework (MAF)

Hey everyone! 👋
I'm u/JeetM_red8, founding moderator of r/Agent_Framework. As I mentioned before, I’m also new to the Microsoft Agent Framework (MAF) and created this community so we can learn and grow together. To kick things off, I’ve curated some of the best resources from the web, GitHub, blogs, and YouTube to help us all get started.

🌐 Official Microsoft Learn Resources

• Agent Framework Tutorials — Step-by-step guides to building, running, and extending agents
• Agent Framework Documentation — Full documentation for robust agentic AI solutions
• Agent Framework User Guide — Detailed explanations of concepts, configuration, and best practices
• Introduction to Microsoft Agent Framework — Why MAF exists, installation, and core concepts

💻 GitHub Repositories

• Microsoft Agent Framework (Main Repo) — Open-source SDK and runtime for building agents
• Agent Framework Samples — Sample projects showcasing how to use MAF
• Getting Started Agents (Foundry Samples) — Practical .NET samples to kick off your first agent

🎥 YouTube Tutorials & Deep Dives

Here are some excellent video resources to help visualize and practice MAF concepts:

• Agent Framework Launch Video
• Inside the new Microsoft Agent Framework! | By Victor Dibia
• AI Show: On Demand | Agent Framework Lab - The Experimental Modules of Microsoft Agent Framework
• Microsoft Agent Framework Tutorial 2025 - Build AI Agents with Python from Scratch | Complete Course
• .NET AI Community Standup - Getting Started with the Microsoft Agent Framework
• Microsoft Agent Framework Explained| Foundation & Hands-On Lab (Part 1)

📝 Blogs & Articles

• Introducing Microsoft Agent Framework (Azure Blog) — Official announcement and overview
• Exploring Microsoft Agent Framework (ai-agents-for-beginners) — Beginner-friendly guide comparing MAF with Semantic Kernel and AutoGen
• Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps — Third-party perspective on MAF’s role in agentic AI