DeepYard

Langflow vs Microsoft Agent Framework

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Langflow suits teams needing open-source access, visual builder focus, and 153,543 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
L

Langflow

Visual framework for building and deploying AI agents — 145K+ stars

OSSFree
153.5Ktoday351
M

Microsoft Agent Framework

Unified multi-agent framework merging AutoGen and Semantic Kernel

OSSFree
60.6K800.0K/w18w ago444
MetricLangflowMicrosoft Agent Framework
GitHub Stars153.5K60.6K
Contributors351444
Last CommitAug 22, 2026Apr 15, 2026
Open Issues968997
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Langflow if you need

  • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
  • Langflow shows broader GitHub adoption with 153,543 stars versus 60,568 for Microsoft Agent Framework.
  • Langflow is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.

Choose Microsoft Agent Framework if you need

  • Microsoft Agent Framework stands out for Csharp workflows that are not listed for Langflow.
  • Microsoft Agent Framework is the stronger pick when Orchestration matters because that capability is listed only on its profile.
  • Microsoft Agent Framework has a larger visible contributor base (444 vs 351).

Meaningful differences

  • Workflow emphasis: Langflow highlights Python, while Microsoft Agent Framework highlights Csharp.
  • GitHub adoption: Langflow shows 153,543 stars versus 60,568 for Microsoft Agent Framework.
  • Contributor count: Langflow lists 351 contributors and Microsoft Agent Framework lists 444.

Shared capabilities

  • Multi Agent
  • Python
  • Open Source

Shared Tags

multi-agentpythonopen-source

Only in Langflow

visual-builderno-coderag

Only in Microsoft Agent Framework

microsoftenterprisedotnet

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.

About Langflow

Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.

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About 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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