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agent-framework

Active·★ 14.0k·MIT·Updated 2026-10-08
★ Trending★ Essential

Microsoft Agent Framework (MAF) is an open, multi-language framework for building production-grade AI agents and multi-agent workflows in Python and .NET, with a Go SDK in a separate repository. Microsoft positions it as the successor to AutoGen, which is now in maintenance mode, and it is built for teams taking agents from prototype to production.

It is a strong fit when you need orchestration beyond a single prompt: graph-based workflows with sequential, concurrent, handoff and group-collaboration patterns, checkpointing, streaming and human-in-the-loop control. It also offers middleware for request and response processing, built-in OpenTelemetry tracing, declarative agents defined in YAML, agent skills, an interactive DevUI for debugging, experimental "Labs" packages for benchmarking and reinforcement learning, and the option to host agents on Microsoft Foundry with a couple of lines of code. Multiple model providers are supported.

Getting started: Python users run `pip install agent-framework`; .NET users add the `Microsoft.Agents.AI` package (plus Foundry packages for the hosted quickstart). Teams on AutoGen should follow Microsoft's official migration guide.

#AI Agents#Multi-agent systems#Workflow orchestration#Python#.NET#Coding
$ Install
$ pip install agent-framework
↗ Visit site★ GitHub
01

Features

01Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.
02AF Labs for experimental features including benchmarking, reinforcement learning, and research initiatives.
03Interactive DevUI for agent development, testing, and debugging workflows.
04Full framework support for both Python and C#/.NET with consistent APIs.
05Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging.
02

Why choose it

+First-class Python and .NET support with consistent APIs.
+Production features built in: workflows with checkpointing, middleware, OpenTelemetry, human-in-the-loop.
+Official successor to AutoGen with a migration path and long-term support from Microsoft.
+MIT licensed, with a DevUI and declarative YAML agents.
03

Trade-offs

!Hosting and several samples are oriented towards Azure and Microsoft Foundry.
!A broad framework with many packages; small projects may find it heavier than they need.
!The Go SDK lives in a separate repository with its own release cycle.
04

Compatibility

Python
Native Support
Verified via docs
.NET
Native Support
Verified via docs
OpenAI
Supported
Verified via docs
Azure OpenAI
Supported
Verified via docs
Various LLM Providers
Extensible
Verified via docs
05

Quick start

1
$ pip install agent-framework
06

Use cases

↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
07

How it compares

≈vs AutoGen: Agent Framework is the recommended path forward; AutoGen receives no new features.
≈vs Google ADK: both offer graph workflows and multi-language support; choose based on your cloud and language (.NET favours Agent Framework).
≈vs CrewAI: CrewAI is Python-only with role-based crews; Agent Framework adds .NET and enterprise operations features.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 14.0k
Last commit1d ago
StatusActive
LicenseMIT
CategoryMulti-Agent
Trend (30d)
+0.5k↑ 4.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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