Google AntigravityvsPhidata

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

Full review →Website ↗

Phidata

AI Agent Frameworks

Build AI agents with memory, knowledge, and tools

Full review →Website ↗
FeatureGoogle AntigravityPhidata
CategoryCoding AssistantsAI Agent Frameworks
PricingFree access; higher capacity via Google AI Pro, Google AI Ultra, and enterprise accessFree (open-source) + Cloud
GitHub Stars—
✓ More stars
15k
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
  • ✓ Agent memory
  • ✓ Knowledge base
  • ✓ Tool use
  • ✓ Structured output
  • ✓ Multi-model
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
  • + Clean, Pythonic API
  • + Built-in memory and knowledge
  • + Production-focused
  • + Good documentation
  • + Multi-model support
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
  • − Rebranding confusion (Phidata→Agno)
  • − Smaller community than LangChain
  • − Some features require cloud
  • − Less flexible for custom setups
Tags
googleantigravitycodingagenticclidesktopsubagentsmcpskills
agentsmemoryknowledgepython

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