Microsoft Agent Framework
Open-source MIT framework for building AI agents and multi-agent workflows in Python and .NET.
How the 7.0 was reached
- Quality of output7/10
13,866 stars, 2,398 forks, MIT licence and a push on 2026-09-29; adoption is strong but 659 open issues remain. github.com
- Ease of use5/10
Open-source Python packages and.NET source on GitHub; no separate docs or quickstart was found. github.com
- Pricing value9/10
Free MIT-licensed code; model provider costs apply, but no fee for the framework itself. github.com
- API and integration quality7/10
Python and.NET APIs with middleware, plus Foundry, Azure OpenAI, OpenAI and GitHub Copilot SDK support; no separate reference docs found. github.com
- Solves the problem it claims to solve7/10
Graph workflow patterns, durability and human-in-the-loop are described; strong independent adoption supports the multi-agent claim. github.com
7.0/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- MIT licence
- Model provider costs apply
Key Features
- Python and C#/.NET with consistent APIs
- Graph patterns: sequential, concurrent, handoff, group collaboration
- Durability, restartability and human-in-the-loop control
- Middleware for request and response processing
- Support for Foundry, Azure OpenAI, OpenAI and GitHub Copilot SDK
Pros & Cons
Pros
- Free MIT-licensed code
- 13,866 stars and 2,398 forks show strong adoption
- Two first-class languages
- Workflow features cover durability and observability
Cons
- No separate docs or quickstart found
- 659 open issues
- No separate API reference found
- Go SDK lives in a separate repository
A good fit for .NET and Python teams, especially those already on Azure, who want a free multi-agent framework. Newcomers who need guided docs may find it harder than alternatives.
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