What is Google Antigravity? The Complete Guide to Agent-First Development (2026)

TL;DR: Google Antigravity is an agent-first AI IDE released on November 18, 2025, built on a VS Code fork and powered by Gemini 3. It lets autonomous AI agents plan, write, test, and debug code across your entire project. The free tier includes ~20 agent requests/day on Gemini Flash; paid plans (AI Pro $20/mo, AI Ultra $249.99/mo) unlock higher limits and more capable models. As of March 2026, Antigravity is at version 1.20.6, scores 76.2% on SWE-bench Verified, and supports multi-model development with Gemini 3.1 Pro, Claude Sonnet/Opus 4.6, and GPT-OSS-120B.

Google Antigravity is Google's AI-powered integrated development environment (IDE) that introduces a fundamentally new approach to software development: agent-first development. Unlike traditional AI coding assistants that offer line-by-line suggestions, Antigravity deploys autonomous AI agents that can plan, execute, and validate entire features across multiple files.

Announced on November 18, 2025 alongside Gemini 3 (source: Google Developers Blog), Antigravity represents Google's vision for the future of coding. Now at version 1.20.6 (March 2026), it has rapidly evolved with MCP support, terminal sandboxing, AGENTS.md rules, and a growing ecosystem of features.

Background: Much of Antigravity's DNA comes from a startup called Windsurf — Google acquired the team in a massive $2.4 billion deal to lead the development of what we now know as Antigravity. This acquisition brought deep expertise in agentic IDE design to Google's AI infrastructure.

Quick Overview

| Aspect | Details | |--------|---------| | Developer | Google | | Release Date | November 18, 2025 | | Price | Free | | Platforms | Windows, macOS, Linux | | Base | Fork of Visual Studio Code | | Latest Version | 1.20.6 (March 2026) | | Primary AI Model | Gemini 3.1 Pro |

The Agent-First Paradigm

Traditional coding assistants help you write code line by line. Google Antigravity takes a radically different approach: AI agents that work autonomously.

Traditional AI Coding (Autocomplete Model)

Developer types → AI suggests next line → Developer accepts/modifies → Repeat

Antigravity's Agent-First Model

Developer describes goal → Agent plans solution → Agent executes autonomously → Developer reviews results

This shift transforms developers from "code writers" to "system architects" who direct AI agents rather than writing every line of code manually.

Key Features of Google Antigravity

1. Dual Interface Design

Antigravity provides two distinct views for different workflows:

Editor View

Familiar VS Code-like interface
Syntax highlighting and IntelliSense
Integrated terminal
Agent sidebar for quick interactions

Manager View

Mission control for autonomous agents
Spawn and monitor multiple agents
View progress across workspaces
Manage parallel development tasks

2. Autonomous AI Agents

Agents in Antigravity can:

Plan: Break down complex tasks into steps
Execute: Write, edit, and delete code
Validate: Run tests and verify changes
Iterate: Fix issues and improve based on feedback
Document: Generate documentation and comments

3. Multi-Model Support

Antigravity supports multiple AI models:

| Model | Provider | Best For | |-------|----------|----------| | Gemini 3.1 Pro | Google | Complex reasoning, large codebases | | Gemini 3 Flash | Google | Quick iterations, simple tasks | | Gemini 3 Deep Think | Google | Advanced problem-solving | | Claude Sonnet 4.6 | Anthropic | Detailed explanations, balanced capability | | Claude Opus 4.6 | Anthropic | Most capable Claude model | | GPT-OSS-120B | Open Source | Privacy-conscious development |

4. Massive Context Window

1 million+ token context window
Understand entire codebases at once
No truncation or context pruning needed
Accurate cross-file refactoring

5. Browser Integration

The Chrome extension enables:

Automated UI testing
Screenshot capture for validation
Browser interaction recording
Visual debugging

6. Artifact System

Agents produce rich artifacts to build trust and transparency:

Task Lists — Structured plans before writing code
Code Diffs — Reviewable, incremental changes
Screenshots — UI state before and after changes
Browser Recordings — Video of dynamic interactions for verification

Developers can interact with artifacts using Google Docs-style comments — leave feedback directly on any Artifact, and the agent incorporates your input without stopping its execution flow.

7. MCP (Model Context Protocol) Support

Added in early 2026, MCP allows agents to connect to external tools and services:

GitHub integration for PR management
Database connections for schema-aware development
API integration for third-party services
Custom tool servers for specialized workflows

8. Terminal Sandboxing (macOS)

Introduced in v1.15.6, terminal sandboxing ensures agent terminal commands run within a sandbox to prevent damage to files outside the workspace — a key safety feature for autonomous execution.

9. AGENTS.md Rules Files

As of v1.20.3, Antigravity supports AGENTS.md rules files (alongside GEMINI.md), allowing developers to define project-specific instructions and constraints for AI agents — similar to how .editorconfig standardizes formatting.

How Antigravity Works

Step 1: Describe Your Goal

Instead of writing code, describe what you want to achieve:

"Create a user authentication system with:
- Email/password registration
- OAuth with Google and GitHub
- Password reset flow
- Session management with JWT
- Rate limiting for security"

Step 2: Agent Plans the Solution

The agent analyzes your codebase and creates a plan:

Create database models for users and sessions
Implement registration endpoint
Add OAuth provider integration
Build password reset flow
Configure JWT token handling
Add rate limiting middleware
Write unit and integration tests

Step 3: Autonomous Execution

The agent works through each step:

Writes code in the appropriate files
Installs necessary dependencies
Updates configuration files
Creates database migrations
Generates tests

Step 4: Review and Refine

You review the changes:

View diffs for all modified files
Run tests to verify functionality
Provide feedback for improvements
Request specific changes if needed

Why Google Created Antigravity

The Problem with Traditional Development

Slow iteration cycles - Writing code manually is time-consuming
Context switching - Developers juggle editor, terminal, browser
Boilerplate burden - Much code is repetitive and mechanical
Limited AI integration - Autocomplete only helps one line at a time

Antigravity's Solution

Autonomous execution - Agents complete entire features
Unified workspace - Editor, terminal, browser in one place
Eliminate boilerplate - Agents handle repetitive code
Deep AI integration - AI understands entire projects

Antigravity vs. Other AI Coding Tools

Antigravity vs. GitHub Copilot

| Feature | Antigravity | Copilot | |---------|-------------|---------| | Approach | Agent-first (autonomous) | Autocomplete (suggestions) | | Context | 1M+ tokens | ~8K tokens | | Execution | Autonomous multi-file changes | Single insertion point | | Price | Free | $10-19/month |

Antigravity vs. Cursor

| Feature | Antigravity | Cursor | |---------|-------------|--------| | Philosophy | Full automation | Augmented coding | | Base | VS Code fork | VS Code fork | | Models | Gemini 3, Claude, GPT | GPT-4, Claude | | Price | Free | $20/month Pro |

For a detailed comparison, see our Antigravity vs Cursor guide.

Who Should Use Antigravity?

Ideal For

Startup developers - Move fast with autonomous scaffolding
Solo developers - Multiply your productivity
Teams exploring AI - Free tool to evaluate agent-first development
Large codebase maintainers - Leverage 1M+ token context
Prototyping projects - Rapid iteration and experimentation

Consider Alternatives If

You need precise, line-by-line control
Your project has strict security requirements
You're uncomfortable with AI-generated code
You prefer mature, battle-tested tools

Getting Started with Antigravity

System Requirements

Windows: Windows 10 or later, 4GB RAM
macOS: macOS 10.15 or later, 4GB RAM
Linux: Ubuntu 20.04 or equivalent, 4GB RAM

Installation

Visit antigravity.google
Download for your platform
Run the installer
Sign in with your Google account
Start coding with AI agents

For detailed setup instructions, see our Getting Started Guide.

The Technology Behind Antigravity

Gemini 3 Architecture

Antigravity is powered by Gemini 3, Google's most advanced AI model:

Multimodal understanding - Processes text, code, images
Extended context - 1M+ token window
Reasoning capabilities - Complex problem-solving
Code specialization - Trained on vast code corpus

Agent Infrastructure

Sandboxed execution - Safe code running environment
Version control integration - Git-aware operations
Incremental changes - Small, reviewable diffs
Rollback support - Undo agent changes easily

Privacy and Security

What Data Does Antigravity Access?

Code files you open
Terminal output
Browser interactions (with extension)
Project configuration

Google's Privacy Commitments

No training on user code without consent
Enterprise tier with data isolation
SOC 2 compliance (planned)
On-premise deployment options (coming)

Performance Benchmarks

Antigravity has demonstrated strong performance in industry benchmarks:

| Benchmark | Antigravity (Gemini 3 Pro) | Comparison | |-----------|---------------------------|------------| | SWE-bench Verified | 76.2% | Just 1% behind Claude Sonnet 4.5 | | Terminal-Bench 2.0 | 54.2% | vs GPT-5.1's 47.6% |

Many developers in 2026 are running Antigravity for quick prototyping combined with Claude Code for complex tasks, at a $0 + $100/month combination.

The Future of Antigravity

Announced Roadmap

Enterprise features - Team collaboration, admin controls, SSO
Offline mode - Local model support
Custom agents - Build your own specialized agents
IDE plugins - Integrate agent features into other editors
Paid tiers - Pro and Enterprise plans with higher rate limits

Community Expectations

Deeper integration with Google Cloud
More AI model options (new Gemini versions)
Enhanced debugging capabilities
Mobile development focus

Key Statistics and Facts

| Metric | Value | Source | |--------|-------|--------| | SWE-bench Verified Score | 76.2% | SWE-bench Leaderboard | | Terminal-Bench 2.0 Score | 54.2% | Terminal-Bench 2.0 | | Context Window | 1,000,000+ tokens | Google | | Release Date | November 18, 2025 | Google Developers Blog | | Current Version | 1.20.6 (March 17, 2026) | Official Release Notes | | Price | Free (Public Preview) | Google | | Windsurf Acquisition | $2.4 billion | Public reporting | | Supported Models | 6 (Gemini 3.1 Pro, Flash, Deep Think, Claude 4.6, Opus 4.6, GPT-OSS-120B) | Google |

Frequently Asked Questions

What is Google Antigravity?

Google Antigravity is a free, AI-powered integrated development environment (IDE) released by Google on November 18, 2025. Built as a fork of Visual Studio Code and powered by the Gemini 3 model family, it introduces "agent-first development" — a paradigm where autonomous AI agents plan, write, test, and debug code across entire projects rather than offering line-by-line suggestions.

Is Google Antigravity free?

Google Antigravity has a free tier ($0/month) with limited daily agent requests on Gemini Flash. Paid plans launched in 2026:

Free — $0, ~20 agent requests/day on Gemini Flash
AI Pro — $20/month with ~100 requests/day and access to more capable models
AI Ultra — $249.99/month with high-volume access and no weekly cap

A credits system ($0.01/credit) allows top-ups when your quota runs out. See the pricing page for the latest details.

What is the difference between Google Antigravity and Cursor?

Both are VS Code forks with AI capabilities, but they differ in philosophy. Antigravity uses an agent-first model where AI agents work autonomously across multiple files, while Cursor uses an augmented coding model with AI-assisted suggestions. Antigravity is free; Cursor Pro costs $20/month. Antigravity supports a 1M+ token context window via Gemini 3; Cursor's context is smaller. See our detailed Antigravity vs Cursor comparison.

What is the difference between Google Antigravity and Claude Code?

Antigravity is a visual IDE (VS Code fork) focused on GUI-based agent management, while Claude Code is a terminal-based CLI tool that excels at deep reasoning tasks. Many developers in 2026 combine both: Antigravity for quick prototyping and Claude Code for complex implementations. See our Antigravity vs Claude Code comparison.

What AI models does Antigravity support?

As of March 2026, Antigravity supports six AI models: Gemini 3.1 Pro (primary), Gemini 3 Flash (fast tasks), Gemini 3 Deep Think (advanced reasoning), Claude Sonnet 4.6 and Claude Opus 4.6 (Anthropic), and GPT-OSS-120B (open source).

What is MCP support in Antigravity?

MCP (Model Context Protocol) support was added to Antigravity in early 2026. It allows AI agents to connect to external tools and services through standardized tool servers — such as GitHub for PR management, databases for schema-aware development, and third-party APIs.

What is the Antigravity Agent Manager?

The Agent Manager (also called Mission Control) is a unique dashboard in Antigravity that lets developers spawn, monitor, and manage multiple AI agents working simultaneously across different workspaces. No other AI IDE currently offers this multi-agent orchestration capability.

Does Antigravity replace Android Studio?

No. Antigravity handles code generation while Android Studio provides Android-specific tools like emulators and profilers. They work best together. See our Android Studio integration guide.

Can I use Antigravity offline?

Currently, Antigravity requires an internet connection for AI features. Offline mode with local model support is on Google's roadmap.

Is my code safe with Antigravity?

Google states they don't train on user code without consent. Terminal sandboxing (added in v1.15.6) prevents agent commands from affecting files outside your workspace. Enterprise-tier data isolation and SOC 2 compliance are planned.

What programming languages does Antigravity support?

Antigravity supports all major programming languages including Python, JavaScript, TypeScript, Java, Kotlin, Go, Rust, C++, Swift, PHP, Ruby, and more. Language support is inherited from its VS Code base and enhanced by the AI models' training data.

What is the latest version of Google Antigravity?

As of March 2026, the latest version is 1.20.6, released on March 17, 2026. This version fixed an issue with customization (rules and workflows) creation. See our March 2026 updates roundup for the full changelog.

Conclusion

Google Antigravity represents a fundamental shift in how we write software. By introducing autonomous AI agents that can plan, execute, and validate complex development tasks, it transforms developers from code writers to system architects.

Whether you're a startup founder looking to move fast, an enterprise developer maintaining large codebases, or simply curious about the future of AI-assisted development, Antigravity offers a compelling glimpse into what coding might look like in the years ahead.

The best part? It's free. There's no reason not to try it and experience agent-first development for yourself.

Learn More

Last updated: March 21, 2026