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    Microsoft Agent Framework

    Unified framework for multi-agent conversations and Azure enterprises.

    Freemium
    AI Agents
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    About Microsoft Agent Framework

    Combines AutoGen and Semantic Kernel for event-driven multi-agent systems with GA in Q1 2026. Provides excellent observability and full Microsoft support for Azure-focused enterprises. Supports customizable agents, tools, and human-in-the-loop workflows.[1][2]

    Key Features

    Event driven architecture for asynchronous agent communication
    Unified integration of AutoGen logic with Semantic Kernel capabilities hosting
    Native Azure AI Foundry integration for enterprise grade security
    Built in observability tools for monitoring complex agent interactions
    Flexible human in the loop workflows for manual oversight and approvals
    Extensible plugin system for connecting agents to external data sources and tools

    How to Use Microsoft Agent Framework

    1

    Environment Setup

    Clone the repository from GitHub and install the necessary Python or .NET dependencies.

    2

    Agent Definition

    Define agent roles and their specific goals using the framework orchestration layer.

    3

    LLM Configuration

    Connect the framework to your Azure OpenAI or local models via API keys.

    4

    Deployment and Monitoring

    Execute multi agent conversations and monitor outputs through the built in tracing tools.

    Use Cases

    Automating complex software development lifecycles through collaborative coding agents
    Building scalable customer support systems that route queries between specialized agents
    Developing research assistants that verify facts across multiple internal documents and live web sources
    Streamlining supply chain management by coordinating agents across logistics and inventory systems
    Creating data analysis pipelines where agents perform specialized SQL queries and visualization tasks

    Pros & Cons

    Pros

    • Seamless compatibility with the existing Microsoft Azure ecosystem
    • High scalability for complex enterprise level automation tasksbuilt on proven libraries
    • Strong focus on security and compliance for sensitive business data
    • Active community support and frequent updates from Microsoft engineering teams

    Cons

    • Requires significant Azure infrastructure knowledge for enterprise deployment
    • Currently in preview with full general availability scheduled for 2026
    • Steep learning curve for developers unfamiliar with C# or Python SDKs

    Ready to try Microsoft Agent Framework?

    Visit the official website to get started today.