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Agent Framework

Agent Framework

Agent Framework documentation

Customer Support Agents Open Source

Last Updated

2026-06-16

GitHub Stars

11,365

Last Updated

2026-07

About Agent Framework

Microsoft Agent Framework (MAF) is an open, multi-language framework for building production-grade AI agents and multi-agent workflows in .NET and Python. Microsoft Agent Framework is built for teams taking agents from prototype to production. It provides a consistent foundation for building, orchestrating, and operating agent systems across Python and .NET, while keeping architecture choices open as requirements evolve, and supports a broad ecosystem including Microsoft Foundry, Azure OpenAI, OpenAI, and the GitHub Copilot SDK, with samples and hosting patterns for both local development and cloud deployment. MAF is a strong fit if you: - are building agents and workflows you expect to run in production, - need orchestration beyond a single prompt or stateless chat loop,

Features

Python and C#/.NET Support
Multiple Agent Provider Support
Middleware
Orchestration Patterns & Workflows
Foundry Hosted Agents (new)
Observability

Detailed Ratings

Ease of Use
6.8
Value for Money
7.4
Features
7.0
Support
6.6
Performance
7.2
Overall Rating
7.1 /10

Pros & Cons

Pros

  • Active community with 11.4k GitHub stars
  • Python and C#/.NET Support
  • Multiple Agent Provider Support

Use Cases

Ticket triageHelpdesk automation24/7 supportFAQ deflection

Who Is It For?

Teams and individuals looking for customer support automation who value open-source flexibility and control.

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Frequently Asked Questions

What is Agent Framework?

Agent Framework documentation.

How much does Agent Framework cost?

Agent Framework is open-source and free to self-host. See https://github.com/microsoft/agent-framework for installation instructions.

Is Agent Framework open source?

Yes — Agent Framework is open source with 11.4k stars. The source code is on GitHub at https://github.com/microsoft/agent-framework.

Who should use Agent Framework?

Teams and individuals looking for customer support automation who value open-source flexibility and control.

Related Agents

Links & Resources

AR Reviewed by AgentRadar · Reviewed on · How we rate

Profiles are AI-assisted from public information — not independently hands-on tested.