Microsoft Agent Framework

What is Microsoft Agent Framework?

The Microsoft Agent Framework is an enterprise-grade development platform for building Autonomous AI Agents and structured Multi-Agent Systems. Designed as the successor to AutoGen and Semantic Kernel, the framework provides the orchestration logic, state management, and communication protocols required to deploy LLM-powered agents that can autonomously utilize tools and collaborate
on complex, multi-step tasks.

Key Capabilities

Autonomous Tool-Calling: Enables agents to dynamically select and execute external functions through JSON-RPC or Model Context Protocol (MCP) server integrations.
Graph-Based Workflow Orchestration: Supports the creation of Directed Acyclic Graphs (DAGs) for multi-agent coordination, allowing for type-safe routing, branching, and concurrent execution paths.
Session-Based State Management: Maintains long-term context and conversation history across persistent sessions, facilitating seamless handoffs between specialized agents.
Human-in-the-Loop (HITL) Checkpoints: Includes built-in mechanisms for human intervention, allowing for manual approval or correction of agent actions at critical decision points.
Provider Agility: Supports a wide array of model providers through a unified Model Client interface, including Azure OpenAI, Anthropic, OpenAI, and local models via Ollama.
Observability and Telemetry: Integrates with enterprise monitoring tools through built-in telemetry for logging agent actions, token consumption, and execution latency.
Extensible Middleware: Features a filter-based middleware system for action interception, enabling custom logic for safety, compliance, and input/output validation.

Audience & Use Cases

Audience: AI Engineers, Software Architects, and DevOps teams building production-ready Agentic Workflows.
Use Case: Developing autonomous customer support agents capable of interacting with backend APIs to resolve complex billing or technical inquiries.
Use Case: Orchestrating multi-agent systems for software development where specialized agents handle requirements analysis, code generation, and automated testing in parallel.
Use Case: Implementing enterprise knowledge retrieval systems that utilize RAG (Retrieval-Augmented Generation) combined with autonomous reasoning to answer complex internal queries.

Technical Specifications

Runtime Support: .NET 8.0+ (C#) and Python 3.10+.
Package Architecture: Modular components including Microsoft.Agents.Core, Microsoft.Agents.AI.Foundry, and context-specific memory providers.
Security: Native support for Azure Identity and Managed Identities to ensure secure authentication with LLM endpoints and cloud resources.
Communication Protocol: Optimized for low-latency asynchronous message passing between agent nodes.

Microsoft Agent Framework (MAF) is the enterprise‑ready successor to AutoGen, which was Microsoft's original open-source multi-agent build solution. Microsoft Agent Framework is in now available as a production-ready release: stable APIs, and a commitment to long-term support.