DSPy vs Microsoft Agent Framework
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | DSPy | Microsoft Agent Framework |
|---|---|---|
| GitHub Stars | 34.5K | 58.1K |
| Contributors | 393 | 445 |
| Last Commit | May 15, 2026 | Apr 15, 2026 |
| Open Issues | 474 | 823 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
pythonopen-source
Only in DSPy
prompt-optimizationprogrammingresearchragstanford
Only in Microsoft Agent Framework
microsoftmulti-agententerprisedotnet
About DSPy
DSPy replaces prompt engineering with programming. Instead of writing prompts, you define modules with input/output signatures and DSPy automatically optimizes the prompts and weights for your pipeline. Supports chain-of-thought, retrieval-augmented generation, and multi-hop reasoning patterns. From Stanford NLP.
View full listingAbout Microsoft Agent Framework
Microsoft's Agent Framework is the convergence of AutoGen and Semantic Kernel into a unified multi-agent platform. It provides a consistent API for building, orchestrating, and deploying agent teams across Python and .NET, with enterprise features like managed identity, Azure integration, and production-grade observability.
View full listing