PrivateGPTvsSemantic Kernel

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

PrivateGPT

Local AI Infrastructure

Interact with your documents privately using LLMs

Full review →Website ↗

Semantic Kernel

Developer Tools

Microsoft's AI orchestration SDK for building agents with .NET, Python, and Java

Full review →Website ↗
FeaturePrivateGPTSemantic Kernel
CategoryLocal AI InfrastructureDeveloper Tools
PricingFree (open-source)Free (open-source)
GitHub Stars
✓ More stars
55k
23k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows
Key Features
  • ✓ Document Q&A
  • ✓ 100% private
  • ✓ Local inference
  • ✓ RAG
  • ✓ Multi-format
  • ✓ Plugin system
  • ✓ Memory
  • ✓ Planner
  • ✓ Multi-language
  • ✓ Azure integration
Pros
  • + 100% private and local
  • + No data leaves your machine
  • + Multiple document formats
  • + Good accuracy with RAG
  • + Easy Docker setup
  • + Enterprise-ready with Microsoft backing
  • + Multi-language (C#, Python, Java)
  • + Deep Azure OpenAI integration
  • + Plugin architecture for extensibility
Cons
  • − Requires powerful hardware
  • − Slower than cloud solutions
  • − Limited model choices
  • − UI is basic
  • − Heavy enterprise focus
  • − Verbose API compared to alternatives
Tags
privacyragdocumentsopen-source
microsoftsdkenterprisedotnet

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