# Microsoft Agent Framework Open, multi-language framework for building and orchestrating AI agents and multi-agent workflows. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Build Your Own AI Agent Harness in C#, the MafClaw Live Series DevFeed: [Build Your Own AI Agent Harness in C#, the MafClaw Live Series]() Original publisher: [Read original article]() Author: Bruno Capuano Published: 2026-09-16T21:00:00Z Content type: tutorial Language: en Sources: [.NET Blog]() Topics: [Agent Harness](), [Microsoft Agent Framework](), [AI Agent](), [C#](), [.NET]() Tags: [agent](), [agent-framework](), [agent-harness](), [ai](), [building](), [c-sharp](), [cloud](), [csharp](), [microsoft-agent-framework](), [microsoft-reactor](), [net](), [observability]() ### AI overview This article introduces a four-part live series that builds a complete C# AI agent using the Microsoft Agent Framework harness. It describes adding tools, planning, file access, approvals, memory, skills, shell commands, code execution, background agents, observability, governance, evaluations, and hosted deployment. ### Source excerpt I am building a complete C# agent live, from a single call around an IChatClient to a production-ready, observable, governed agent, using the Microsoft Agent Framework harness in a 4-part Microsoft Reactor series. The post Build Your Own AI Agent Harness in C#, the MafClaw Live Series appeared first on .NET Blog. ## From dotnet run to Foundry Hosted Agent in 3 lines of C# DevFeed: [From dotnet run to Foundry Hosted Agent in 3 lines of C#]() Original publisher: [Read original article]() Author: Bruno Capuano Published: 2026-08-24T19:00:00Z Content type: tutorial Language: en Sources: [.NET Blog]() Topics: [hosted-agents](), [Microsoft Agent Framework](), [Azure](), [C#](), [.NET](), [NuGet](), [Entra ID](), [Containers](), [telemetry]() Tags: [agent](), [agents](), [ai](), [azd](), [azure](), [blog](), [c-sharp](), [csharp](), [dotnet](), [entra-id](), [framework](), [hosted-agents](), [hosting](), [infrastructure](), [microsoft](), [microsoft-agent-framework](), [microsoft-foundry](), [net](), [nuget](), [observability](), [post](), [production]() ### AI overview This tutorial shows how to deploy a Microsoft Agent Framework console agent as a Foundry Hosted Agent using one NuGet package, three lines of C#, and two commands. Foundry provides managed Azure infrastructure, scaling, identity, session state, observability, and lifecycle management. ### Source excerpt You built an agent with Microsoft Agent Framework and it works great on your machine. Now what? Turns out deploying it to production takes 1 NuGet package, 3 lines of C#, and 2 commands. Let's do it. The post From dotnet run to Foundry Hosted Agent in 3 lines of C# appeared first on .NET Blog. ## \[July 2026\] AI Community -- Activity Highlights and Achievements DevFeed: [\[July 2026\] AI Community -- Activity Highlights and Achievements]() Original publisher: [Read original article]() Author: Nari Yoon Published: 2026-08-24T02:23:20Z Content type: article Language: en Sources: [Google Developer Experts - Medium]() Topics: [google-antigravity](), [AI Agent](), [Agentic development](), [Artificial Intelligence](), [SDK](), [Orchestration](), [Computer vision](), [Microsoft Agent Framework]() Tags: [2026](), [agentic-development](), [ai](), [ai-agents](), [computer-vision](), [google](), [google-ai](), [google-antigravity](), [orchestration](), [sdk]() ### AI overview A July 2026 roundup highlights Google AI community projects built with the Antigravity SDK and related tools. The featured work covers asynchronous triggers, autonomous and self-correcting agents, approval-gated workflows, computer vision operations, and parallel multi-agent orchestration. ### Source excerpt We love sharing the accomplishments of the Google AI communities over the month. We appreciate all the hard work and dedication of our community members. Without further ado, here are the key highlights by products! Agentic DevelopmentAntigravity Antigravity has no task queue. Meet @trigger, its real async primitive by AI GDE Omotayo Aina (UK) explores the design philosophy behind Antigravity SDK, detailing how it leverages asyncio and triggers instead of a traditional task queue. It demonstrates how to construct asynchronous patterns like bounded task queues and cron-like scheduling using this minimalist primitive. https://medium.com/media/0311867ab42ff4749c6db6e2653e2716/href Inside the /goal Loop: How to Build Autonomous AI Agents (repository) by GDE Alexander Amin (Germany) explores the architecture of a custom autonomous agent built with Antigravity SDK that coordinates a multi-agent squad to retrieve data and edit documents. It demonstrates how to implement human gate policies and maintain secure, production-ready agentic loops. Anatomy of a Self-Correcting Agent -- How /goal Closes the Loop in Antigravity by AI GDE Krupa Galiya (India) is a framework with a live dashboard to analyze an AI agent's self-correction process. It examines how agents respond to intentional failures through a loop of verification, diagnosis, replanning, and retrying. image source VisionOps Crew: A Multi-Agent Architecture for Computer Vision Operations Using Google ADK and the Antigravity SDK (repository) by AI GDE Henry Ruiz (US) introduces a multi-agent assistant designed to address fragmentation in computer vision engineering using ADK and Antigravity SDK. Henry leverages specialized agents and external tool integrations to coordinate model discovery, data inspection, and workflow execution. EscrowGuard: Building Approval-Gated AI Agents with the Google Antigravity SDK (repository) by AI GDE Aye Hninn Khine (Thailand) leverages Antigravity SDK to build a multi-agent architecture wi ## Product release notes - June 2026 DevFeed: [Product release notes - June 2026]() Original publisher: [Read original article]() Author: John Crowley Published: 2026-07-22T11:36:33Z Content type: release Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Automation](), [Model Context Protocol (MCP)](), [Microsoft Agent Framework](), [GitLab](), [CI/CD](), [dashboards](), [Forms](), [Slack]() Tags: [2026](), [agents](), [ai](), [ai-agents](), [automation](), [ci-cd](), [dashboards](), [forms](), [gitlab](), [mcp](), [product-release](), [release](), [slack](), [workflows]() ### AI overview Port's June 2026 release introduces Workflows in Open Beta as a visual, node-based automation builder, private catalog pages and dashboards, external MCP server connections for AI agents, GitLab CI/CD pipeline triggers, and conversation memory with interactive forms for the Slack agent and AI Assistant. ### Source excerpt June expands what teams can build on Port: Workflows opens in Open Beta as a visual, node-based builder, Private Pages let you build catalog views that stay private until you share them, and AI agents now connect to external MCP servers in chat and automations. ## PyCon US 2026 DevFeed: [PyCon US 2026]() Original publisher: [Read original article]() Author: Vedha Ranganathan Published: 2026-05-14T00:18:13Z Content type: article Language: en Sources: [Microsoft Python Engineering]() Topics: [Microsoft](), [GitHub](), [Azure](), [Microsoft Agent Framework](), [Meta](), [AI search]() Tags: [2026](), [azure](), [blog](), [developers](), [github](), [meta](), [microsoft](), [microsoft-agent-framework](), [microsoft-foundry](), [post](), [python](), [search]() ### AI overview Microsoft and GitHub announce their presence at PyCon US 2026 in Long Beach, including a booth, hands-on labs, and information about a Pylance integration with Meta's Pyrefly type checker that is in early preview. ### Source excerpt PyCon US 2026 The post PyCon US 2026 appeared first on Microsoft for Python Developers Blog. ## Watch the recordings from my Python + MCP series DevFeed: [Watch the recordings from my Python + MCP series]() Original publisher: [Read original article]() Author: Pamela Fox (noreply@blogger.com) Published: 2025-12-19T15:50:00Z Content type: tutorial Language: en Sources: [Pamela Fox]() Topics: [Model Context Protocol](), [MCP Server](), [Python](), [Azure](), [OAuth](), [Docker](), [OpenTelemetry](), [LangChain](), [GitHub Copilot](), [vs-code](), [Microsoft Agent Framework]() Tags: [agent-framework](), [azure](), [code](), [deployment](), [docker](), [github-copilot](), [langchain](), [mcp](), [mcp-server](), [microsoft-agent-framework](), [model-context-protocol](), [oauth](), [opentelemetry](), [python](), [vs-code]() ### AI overview A three-part Python and MCP series provides recordings, slides, and open-source code covering MCP server development with FastMCP, cloud deployment on Azure, observability, networking, and authentication. ### Source excerpt MCP is one of the fastest growing technologies in the Generative AI space this year, and the first AI related standard that the industry has really embraced wholeheartedly. I just gave a three-part live stream series all about Python + MCP. I showed how to: Build MCP servers in Python using FastMCP Deploy them into production on Azure (Container Apps and Functions) Add authentication, using either Keycloak and Microsoft Entra as the OAuth provider All of the materials from our series are available and linked below: Video recordings of each stream Powerpoint slides Open-source code samples complete with Azure infrastructure and 1-command deployment If you're an instructor, feel free to use the slides and code examples in your own classes. Spanish speaker? My colleague delivered a fantastic Spanish version of the series. Building MCP servers with FastMCP 📺 Watch YouTube recording In the intro session of our Python + MCP series, we dive into MCP (Model Context Protocol). This open protocol makes it easy to extend AI agents and chatbots with custom functionality, making them more powerful and flexible. We demonstrate how to use the Python FastMCP SDK to build an MCP server running locally. Then we consume that server from chatbots like GitHub Copilot in VS Code, using it's tools, resources, and prompts. Finally, we discover how easy it is to connect AI agent frameworks like Langchain and Microsoft agent-framework to the MCP server. Slides for this session Code repository with examples: python-mcp-demos Deploying MCP servers to the cloud 📺 Watch YouTube recording In our second session of the Python + MCP series, we deploy MCP servers to the cloud! We walk through the process of containerizing a FastMCP server with Docker and deploying to Azure Container Apps. Then we instrument the MCP server with OpenTelemetry and observe the tool calls using Azure Application Insights and Logfire. Finally, we explore private networking options for MCP servers, using virtual networks th