DeepYard

AutoGen vs Microsoft Agent Framework

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

Direct Answer

AutoGen suits teams needing open-source access, conversation focus, and 60,568 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
A

AutoGen

Microsoft's framework for building multi-agent AI systems

OSSFree
60.6K18w ago444
M

Microsoft Agent Framework

Unified multi-agent framework merging AutoGen and Semantic Kernel

OSSFree
60.6K800.0K/w18w ago444
MetricAutoGenMicrosoft Agent Framework
GitHub Stars60.6K60.6K
Contributors444444
Last CommitApr 15, 2026Apr 15, 2026
Open Issues997997
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose AutoGen if you need

  • AutoGen is the stronger pick when Conversation matters because that capability is listed only on its profile.
  • AutoGen is the cleaner fit if you specifically need Conversation 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 AutoGen.
  • Microsoft Agent Framework is the stronger pick when Orchestration matters because that capability is listed only on its profile.
  • Microsoft Agent Framework is the cleaner fit if you specifically need Enterprise workflows from the catalog tags.

Meaningful differences

  • Workflow emphasis: AutoGen highlights Python, while Microsoft Agent Framework highlights Csharp.

Shared capabilities

  • Multi Agent
  • Microsoft
  • Python

Shared Tags

multi-agentmicrosoftpython

Only in AutoGen

conversationcode-executiongroup-chat

Only in Microsoft Agent Framework

enterprisedotnetopen-source

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 AutoGen

AutoGen is Microsoft's open-source framework for building multi-agent conversational systems where agents can converse with each other and with humans to solve complex tasks. Agents are highly customizable and can use LLMs, tools, and human input in flexible combinations. The framework supports group chats, nested conversations, and code execution sandboxes, making it well-suited for coding assistants, research automation, and enterprise agentic workflows. AutoGen Studio provides a no-code UI for prototyping agent systems visually.

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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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