CrewAIvsGoogle Antigravity

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

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

Google Antigravity

Coding Assistants

Featured

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

FeatureCrewAIGoogle Antigravity
CategoryAI Agent FrameworksCoding Assistants
PricingFree + EnterpriseFree access; higher capacity via Google AI Pro, Google AI Ultra, and enterprise access
GitHub Stars
More stars
25k
PlatformsmacOS, Linux, WindowsmacOS, Windows, Linux, Web
Key Features
  • Multi-agent collaboration
  • Role-based agents
  • Task delegation
  • Tool integration
  • Memory
  • Process types
  • 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
Pros
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
  • + 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
Cons
  • Less flexible than raw LangChain
  • Relatively young framework
  • Limited built-in tools
  • Can be expensive with many agents
  • 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
Tags
open-sourcemulti-agentorchestrationpythonteams
googleantigravitycodingagenticclidesktopsubagentsmcpskills

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