LangChain vs Microsoft Agent Framework
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | LangChain | Microsoft Agent Framework |
|---|---|---|
| GitHub Stars | 136.8K | 58.1K |
| Contributors | 469 | 445 |
| Last Commit | May 16, 2026 | Apr 15, 2026 |
| Open Issues | 584 | 823 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in LangChain
Only in Microsoft Agent Framework
About LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
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.
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