Google AntigravityvsSemantic Kernel

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

Google Antigravity

Coding Assistants

Featured

Google agent-first coding platform with Antigravity 2.0 and Antigravity CLI

Semantic Kernel

Developer Tools

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

FeatureGoogle AntigravitySemantic Kernel
CategoryCoding AssistantsDeveloper Tools
PricingFree access; higher capacity via Google AI Pro, Google AI Ultra, and enterprise accessFree (open-source)
GitHub Stars
More stars
23k
PlatformsmacOS, Windows, Linux, WebLinux, macOS, Windows
Key Features
  • Antigravity 2.0 desktop app
  • Antigravity CLI
  • Subagents
  • Asynchronous background tasks
  • Skills and plugins
  • Hooks
  • MCP server support
  • Chrome and web-search interaction
  • Gemini CLI migration
  • Plugin system
  • Memory
  • Planner
  • Multi-language
  • Azure integration
Pros
  • + Official Google agent-first development platform
  • + Desktop and terminal surfaces share the same agent harness
  • + Supports parallel subagents and asynchronous workflows
  • + Supports skills, plugins, hooks, and MCP servers
  • + Direct migration path for Gemini CLI users
  • + Enterprise-ready with Microsoft backing
  • + Multi-language (C#, Python, Java)
  • + Deep Azure OpenAI integration
  • + Plugin architecture for extensibility
Cons
  • Gemini CLI consumer and free access migrates to Antigravity on June 18, 2026
  • Not all Gemini CLI features have exact one-to-one parity at launch
  • Pricing and capacity depend on Google account or enterprise access
  • Autonomous agent changes still require review and permission controls
  • Heavy enterprise focus
  • Verbose API compared to alternatives
Tags
googleantigravitycodingagenticclidesktopsubagentsmcpskills
microsoftsdkenterprisedotnet

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