DeepYard

Microsoft Agent Framework vs Rasa

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

Direct Answer

Microsoft Agent Framework suits teams needing open-source access, csharp focus, and 60,568 GitHub stars in current listing data. Rasa suits teams needing freemium $35, conversational ai focus, and 21,301 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
M

Microsoft Agent Framework

Unified multi-agent framework merging AutoGen and Semantic Kernel

OSSFree
60.6K800.0K/w18w ago444
R

Rasa

On-premise conversational AI framework for enterprise virtual assistants

OSSfreemium
21.3K400.0K/w4w ago298
MetricMicrosoft Agent FrameworkRasa
GitHub Stars60.6K21.3K
Contributors444298
Last CommitApr 15, 2026Jul 24, 2026
Open Issues997153
Licenseopen-sourceopen-source
Pricingopen-sourcefreemium
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Microsoft Agent Framework if you need

  • Microsoft Agent Framework stands out for Csharp workflows that are not listed for Rasa.
  • Microsoft Agent Framework is the stronger pick when Multi Agent matters because that capability is listed only on its profile.
  • Microsoft Agent Framework shows broader GitHub adoption with 60,568 stars versus 21,301 for Rasa.

Choose Rasa if you need

  • Rasa is the stronger pick when Conversational Ai matters because that capability is listed only on its profile.
  • Rasa is the cleaner fit if you specifically need Conversational Ai workflows from the catalog tags.

Meaningful differences

  • Pricing model: Microsoft Agent Framework is listed as open-source, while Rasa is listed as freemium from From $35K/yr (Enterprise).
  • Workflow emphasis: Microsoft Agent Framework highlights Csharp, while Rasa highlights Python.
  • GitHub adoption: Microsoft Agent Framework shows 60,568 stars versus 21,301 for Rasa.
  • Contributor count: Microsoft Agent Framework lists 444 contributors and Rasa lists 298.

Shared capabilities

  • Enterprise
  • Python
  • Open Source

Shared Tags

enterprisepythonopen-source

Only in Microsoft Agent Framework

microsoftmulti-agentdotnet

Only in Rasa

conversational-aion-premisenlu

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 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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About Rasa

Rasa is an open-source conversational AI framework for building enterprise-grade virtual assistants and chatbots. It provides NLU, dialogue management, and LLM integration with full on-premise deployment support. Rasa focuses on regulated industries that need data privacy, compliance, and control over their AI infrastructure.

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