DeepYard

MetaGPT vs Semantic Kernel

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

Direct Answer

MetaGPT suits teams needing open-source access, role based focus, and 69,942 GitHub stars in current listing data. Semantic Kernel suits teams needing open-source access, csharp focus, and 28,477 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

MetaGPT

Multi-agent framework — the first AI software company — 65K+ stars

OSSFree
69.9K30w ago116
Visit GitHub
S

Semantic Kernel

Microsoft's SDK for integrating LLMs into applications — 24K+ stars

OSSFree
28.5Ktoday400
Visit GitHub
MetricMetaGPTSemantic Kernel
GitHub Stars69.9K28.5K
Contributors116400
Last CommitJan 21, 2026Aug 21, 2026
Open Issues131250
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose MetaGPT if you need

  • • MetaGPT is the stronger pick when Role Based matters because that capability is listed only on its profile.
  • • MetaGPT shows broader GitHub adoption with 69,942 stars versus 28,477 for Semantic Kernel.
  • • MetaGPT is the cleaner fit if you specifically need Software Engineering workflows from the catalog tags.

Choose Semantic Kernel if you need

  • • Semantic Kernel stands out for Csharp workflows that are not listed for MetaGPT.
  • • Semantic Kernel is the stronger pick when Plugins matters because that capability is listed only on its profile.
  • • Semantic Kernel has a larger visible contributor base (400 vs 116).

Meaningful differences

  • • Workflow emphasis: MetaGPT highlights Python, while Semantic Kernel highlights Csharp.
  • • GitHub adoption: MetaGPT shows 69,942 stars versus 28,477 for Semantic Kernel.
  • • Contributor count: MetaGPT lists 116 contributors and Semantic Kernel lists 400.

Shared capabilities

  • • Multi Agent
  • • Python
  • • Open Source

Shared Tags

multi-agentpythonopen-source

Only in MetaGPT

software-engineeringcollaborationroles

Only in Semantic Kernel

microsoftenterprisecsharpjavaplugins

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

Manifest content date: 2026-08-21

About MetaGPT

MetaGPT assigns different roles to agents (product manager, architect, engineer, QA) to form a collaborative software team. Given a one-line requirement, it outputs user stories, competitive analysis, requirements, data structures, APIs, and complete code. Pioneered the multi-agent collaboration pattern for software development.

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About Semantic Kernel

Semantic Kernel is Microsoft's open-source SDK for building AI agents and integrating LLMs into enterprise applications. It supports C#, Python, and Java with a plugin architecture for extending agent capabilities. Semantic Kernel provides planning, memory, and function-calling abstractions that work with OpenAI, Azure OpenAI, and Hugging Face models.

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