Trial
Google Antigravity
Quick facts
- Pricing model
- Trial
- Minimum price
- from $20/month
- Free access
- Trial access
- Regional payment options
- Pay directly on the website
- Service status
- Online, checked
- User rating
Developer and reliability
Information about the developer and the service's terms. This is a factual reference, not a quality assessment or a guarantee of safety.
- Developer
- Legal entity
- Google LLC
- Legal entity's country
- United States
- Domain registered
- September 19, 2025
- The domain registration date is not the service's launch date.
Change and verification history
Tracking pricing and information updates
- Assessment updated
- Information verified
- Reviews added
- Information verified
Video reviews and tutorials
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Editorial assessment
Google Antigravity takes a tangible step beyond the familiar autocomplete copilot, treating AI as an autonomous worker capable of running tasks in parallel. Splitting the platform into a workspace manager, an IDE, a fast CLI, and a Python SDK gives engineers the right surface for different tasks, and the interactive Artifacts make reviewing agent proposals straightforward without wading through thousands of log lines. We rate it as a Good product rather than top tier because everyday developer friction remains obvious: background sessions eat up disk space at an alarming rate, WSL setups require annoying workarounds, and floating compute limits can hit the brakes on an agent right in the middle of an intensive refactor.
- Functionality Good
- Price and value Good
- Ease of use Average
- Reliability and support Average
- Innovation Good
User reviews
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About the tool
Google Antigravity is an agentic software development platform designed to shift everyday engineering from inline autocompletion to delegating complete tasks to autonomous AI agents. Rather than keeping you trapped in a side-panel chat, the system orchestrates agents capable of planning complex steps, reading and modifying files, executing terminal commands, and verifying their own implementations.
The environment consists of four distinct operational surfaces:
- Desktop Workspace Manager: A standalone command center built to run and schedule multiple local agents in parallel across separate workspaces without locking your primary editor.
- Antigravity IDE: A dedicated development environment equipped with agent task hierarchies, diff viewers, and codebase context awareness.
- Antigravity CLI: A fast, terminal-first interface intended for keyboard-driven workflows, headless servers, and background subagent supervision.
- Antigravity SDK: A Python toolkit for creating custom autonomous agents, chaining workflows using the Model Context Protocol, and automating engineering pipelines.
Antigravity offers multi-model support featuring Google Gemini, Anthropic Claude, and open weights such as GPT-OSS, with visual tooling integrated through Nano Banana. Its standout technical capability is browser-in-the-loop automation, where an agent starts a local development server, renders the web interface, tests user flows, and inspects console errors autonomously.
How it helps you
Saves substantial engineering time for frontend, fullstack, and enterprise developers by handing off repetitive bug fixes, multi-file refactoring, and UI end-to-end verification to autonomous background agents.
Pricing
Prices are based on the provider's information and may change.
Pros
- Parallel agent orchestration allows background subagents to work on backend logic, frontend code, and test suites simultaneously
- Browser-in-the-loop automation enables agents to launch local servers, test user interfaces, and inspect console logs autonomously
- Interactive Artifacts replace messy execution logs with structured diffs, checklists, and visual verification steps
- Flexible model choices across Google Gemini, Anthropic Claude, and open-weight architectures
- Dedicated CLI and Python SDK make it easy to run automated agents on headless remote machines and inside containers
Cons
- Noticeable integration friction and re-authentication issues when working inside WSL environments on Windows
- Intensive agent sessions quickly consume gigabytes of local storage with cache files and session databases
- Variable compute quotas can restrict deep reasoning depth during long, complex codebase refactoring runs
Frequently asked questions
What AI models can be used with Google Antigravity?
Antigravity provides multi-model flexibility, supporting Google Gemini, Anthropic Claude, and open-weight architectures like GPT-OSS, alongside visual design integrations powered by Nano Banana.
How does the browser-in-the-loop verification work?
The platform allows an agent to run a local web server and open a visual or headless browser session to check layout integrity, click buttons, fill forms, and catch runtime console errors directly.
What operating systems are supported?
Antigravity supports macOS on Apple Silicon and Intel chips, 64-bit Windows, and 64-bit Linux distributions. The CLI can also be deployed across SSH connections and Docker containers.
What pricing plans does Google Antigravity offer?
The service provides an Individual tier available at no charge (which may function as an entry plan or trial), Google AI Pro at $20 per month, Google AI Ultra at $100 and $200 per month, and unpriced Organization plans.
Compare with popular alternatives
Compare key features, prices and capabilities with similar tools
| Feature | Current tool |  |  |
|---|---|---|---|
| Pricing model | Trial | Trial | Trial |
| Minimum price | from $20/month | from $20/month | Price not specified |
| Free access | Trial access | Trial access | Trial access |
| Regional payment options | Direct payment | Direct payment | Direct payment |
| Editorial assessment | Good product | Strong technology platform | Good product |
| User rating | |||
| Current tool |
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