Google AntigravityvsQdrant

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

Qdrant

Vector Databases

High-performance vector database for AI applications

FeatureGoogle AntigravityQdrant
CategoryCoding AssistantsVector Databases
PricingFree access; higher capacity via Google AI Pro, Google AI Ultra, and enterprise accessFree (open-source) + Cloud
GitHub Stars
More stars
21k
PlatformsmacOS, Windows, Linux, WebLinux, macOS, Docker
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
  • Vector search
  • Filtering
  • Distributed
  • REST/gRPC API
  • Rust-based
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
  • + Blazing fast (Rust-based)
  • + Advanced filtering capabilities
  • + Production-ready scaling
  • + Rich API (REST + gRPC)
  • + Great documentation
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
  • More complex than ChromaDB
  • Self-hosting requires resources
  • Smaller ecosystem
  • Cloud pricing can be high
Tags
googleantigravitycodingagenticclidesktopsubagentsmcpskills
vector-dbrusthigh-performanceopen-source

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