Semantic KernelvsDust

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

Semantic Kernel

Developer Tools

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

Full review →Website ↗

Dust

AI Agent Frameworks

Platform for building and deploying AI assistants

Full review →Website ↗
FeatureSemantic KernelDust
CategoryDeveloper ToolsAI Agent Frameworks
PricingFree (open-source)Free + Pro $29/mo
GitHub Stars
✓ More stars
23k
3k
PlatformsLinux, macOS, WindowsWeb
Key Features
  • ✓ Plugin system
  • ✓ Memory
  • ✓ Planner
  • ✓ Multi-language
  • ✓ Azure integration
  • ✓ Data connections
  • ✓ Custom assistants
  • ✓ Team collaboration
  • ✓ Workflow builder
  • ✓ Enterprise
Pros
  • + Enterprise-ready with Microsoft backing
  • + Multi-language (C#, Python, Java)
  • + Deep Azure OpenAI integration
  • + Plugin architecture for extensibility
  • + Team-focused design
  • + Data connectors
  • + Enterprise security
  • + Custom assistants
  • + Clean interface
Cons
  • − Heavy enterprise focus
  • − Verbose API compared to alternatives
  • − Enterprise pricing
  • − Limited free tier
  • − Less flexible than frameworks
  • − Smaller community
Tags
microsoftsdkenterprisedotnet
assistantsenterpriseworkflowscollaboration

Want to compare different tools?

← Back to compare picker

Related Comparisons

Semantic Kernel vs OpenClaw →Dust vs OpenClaw →Semantic Kernel vs OpenHands →Dust vs OpenHands →Semantic Kernel vs Microsoft AutoGen →Dust vs Microsoft AutoGen →Semantic Kernel vs AutoGPT →Dust vs AutoGPT →Semantic Kernel vs LangChain →Dust vs LangChain →Semantic Kernel vs Anthropic MCP →Dust vs Anthropic MCP →