LangflowvsGoogle Antigravity

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

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

Full review →Website ↗

Google Antigravity

Coding Assistants

Featured

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

Full review →Website ↗
FeatureLangflowGoogle Antigravity
CategoryAutomation PlatformsCoding Assistants
PricingFree (open-source) + CloudFree access; higher capacity via Google AI Pro, Google AI Ultra, and enterprise access
GitHub Stars
✓ More stars
35k
—
PlatformsLinux, macOS, Windows, Docker, WebmacOS, Windows, Linux, Web
Key Features
  • ✓ Visual builder
  • ✓ Drag-and-drop
  • ✓ Component library
  • ✓ API export
  • ✓ Multi-model
  • ✓ 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 visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + 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
  • − Tied to LangChain ecosystem
  • − Limited for very custom logic
  • − Can be slow for complex flows
  • − Still maturing
  • − 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
no-codevisuallangchainopen-source
googleantigravitycodingagenticclidesktopsubagentsmcpskills

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