LangChain vs Microsoft Agent Framework
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
LangChain suits teams needing open-source access, typescript focus, and 144,745 GitHub stars in current listing data. Microsoft Agent Framework suits teams needing open-source access, csharp focus, and 60,568 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | LangChain | Microsoft Agent Framework |
|---|---|---|
| GitHub Stars | 144.7K | 60.6K |
| Contributors | 467 | 444 |
| Last Commit | Aug 22, 2026 | Apr 15, 2026 |
| Open Issues | 416 | 997 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose LangChain if you need
- • LangChain stands out for Typescript workflows that are not listed for Microsoft Agent Framework.
- • LangChain is the stronger pick when Chain matters because that capability is listed only on its profile.
- • LangChain shows broader GitHub adoption with 144,745 stars versus 60,568 for Microsoft Agent Framework.
Choose Microsoft Agent Framework if you need
- • Microsoft Agent Framework stands out for Csharp workflows that are not listed for LangChain.
- • Microsoft Agent Framework is the stronger pick when Multi Agent matters because that capability is listed only on its profile.
- • Microsoft Agent Framework is the cleaner fit if you specifically need Microsoft workflows from the catalog tags.
Meaningful differences
- • Workflow emphasis: LangChain highlights Typescript, while Microsoft Agent Framework highlights Csharp.
- • GitHub adoption: LangChain shows 144,745 stars versus 60,568 for Microsoft Agent Framework.
- • Contributor count: LangChain lists 467 contributors and Microsoft Agent Framework lists 444.
Shared capabilities
- • Python
Shared Tags
Only in LangChain
Only in Microsoft Agent Framework
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
Source links
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.
View full listing