What is Google Antigravity?

Google Antigravity is an innovative agentic development environment that marks the evolution of the IDE into a fully AI-driven, multi-agent workspace. Built for the Gemini 3 era, it enables developers to collaborate with autonomous agents that operate cohesively across the editor, terminal, and browser. Each agent can plan, execute, and validate complex tasks—from code generation and debugging to integration testing and deployment—while maintaining complete contextual awareness. The Antigravity interface replaces low-level micromanagement with a higher-level, task-oriented control system, letting developers act as architects guiding teams of intelligent agents. Through cross-surface synchronization, agents share memory and data across all development surfaces, ensuring consistency and coordination across projects. Developers can use natural language prompts to describe tasks, while Antigravity’s artifact-based feedback loop provides transparent insight into every agent decision, output, and verification step. The platform supports both solo developers and enterprise teams, offering a centralized mission control for multi-agent collaboration at scale. Designed with user trust in mind, it prioritizes data privacy, interpretability, and real-time user feedback integration. Antigravity also enhances creativity through vibe coding, allowing developers to build fully functional apps with conversational prompts and instant iteration. By merging intelligent automation with human intent, Google Antigravity redefines what it means to write, test, and ship software in the agent-first era.

Pricing

Price Starts At:
Free
Free Version:
Free Version available.

Integrations

All Google Antigravity Integrations
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Screenshots and Video

Play Video Google Antigravity Screenshot 1 Google Antigravity Screenshot 2 Google Antigravity Screenshot 3

Company Facts

Company Name:
Google
Date Founded:
1998
Company Location:
United States
Company Website:
antigravity.google/

Product Details

Deployment
Windows
Mac
Linux
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Google Antigravity Categories and Features

Vibe Coding Tool

IDE Software

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

AI IDEs

AI Coding Assistants

AI Coding Agents

Google Antigravity Customer Reviews

Write a Review
  • Reviewer Name: A Verified Reviewer
    Position: Developer
    Has used product for: Less than 6 months
    Uses the product: Daily
    Org Size (# of Employees): 26 - 99
    Feature Set
    Layout
    Ease Of Use
    Cost
    Customer Service
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Unbelievably good

    Date: Nov 18 2025
    Summary

    Google Antigravity is a genuinely next-generation IDE that makes development feel lighter, faster, and more intuitive. Even early on, it’s already improving my workflow, reducing context switching, and opening up new ways to collaborate with agents across surfaces. If this is the foundation, the future updates are going to be game-changing.

    Positive

    Google Antigravity delivers one of the smoothest agent-first development experiences I’ve ever used on macOS. The cross-surface synchronization between editor, terminal, and browser feels seamless, and the natural-language code commands make complex tasks incredibly fast. Mission control for managing multiple agents is a standout feature, and the intelligent tab autocompletion feels noticeably more context-aware than traditional IDEs.

    Negative

    The platform is still new (I literally just started using it today), so some integrations feel limited compared to more mature IDE ecosystems. A few workflows require switching mental models from conventional tooling, which takes a bit of adjustment. I also found myself wanting deeper customization options for agent behavior—though these are likely to evolve quickly.

    Read More...
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