Google Antigravity is a new agent-first AI coding tool powered by Gemini 3, designed to let autonomous AI agents write code, manage tasks, operate your browser, and provide verifiable evidence of every step they take. It’s available now in a free public preview for Windows, macOS, and Linux.
In simple terms, Antigravity is Google’s next-generation development environment where AI agents act like real teammates: they plan tasks, execute them, show proof of every action, and can even learn from previous work.
While many users wait for official access or struggle with strict region blocks,GlobalGPT grants instant access to Gemini 3 Pro, GPT-5.2, and Claude 4.5 without waitlists, allowing you to experience the full power of Google Antigravity’s core model. For just $5.75, you can switch between the world’s leading coding agents and multimedia tools like Sora 2 Pro, all within a single, region-free platform designed for maximum efficiency.
What Is Google Antigravity? (Core Definition + How It Works)
Google Antigravity is an AI-driven development environment that allows one or multiple agents to directly access your editor, terminal, and browser. Unlike traditional coding assistants, Antigravity focuses on autonomous workflow execution—meaning the AI can run complex tasks end-to-end, not just answer prompts.
Key characteristics include:
- Built for Gemini 3 Pro but also supports Claude Sonnet 4.5 and GPT-OSS
- Designed around multi-agent collaboration
- Provides verifiable outputs called Artifacts
- Allows agents to operate across multiple workspaces
- Free public preview with generous usage limits
Antigravity aims to become the central hub for AI-assisted software development.
Key Features of Google Antigravity
Google has introduced several capabilities that make Antigravity different from existing AI coding tools like Cursor or GitHub Copilot:
1. Agent-First Design
Antigravity treats AI agents not as assistants but as primary workers capable of:
- Planning tasks
- Coordinating with other agents
- Executing code
- Running browser operations
- Generating reports
This shifts development toward autonomous workflows.
2. Verifiable “Artifacts” for Transparency
One of the most important innovations in Google Antigravity is its system of Artifacts—a structured, verifiable record of every major task an agent performs. Artifacts are designed to give developers full visibility into how the AI works, why it makes certain decisions, and what steps it plans to take next.
What Exactly Are Artifacts?
Artifacts are automatically generated data objects that document:
- Task lists
- Execution plans and reasoning summaries
- Code diffs and file changes
- Screenshots of the editor or browser
- Browser recordings of actions taken in real time
- Validation steps or test outputs
They act as a transparent proof-of-work system that helps developers audit the AI’s behavior.
Why Google Built Artifacts (Developer-Oriented Explanation)
Google designed Artifacts to solve a core problem in modern AI agents:
developers cannot verify what the model actually did.
Traditional LLM logs show long lists of:
- Model actions
- Tool calls
- API interactions
but these logs are difficult for humans to interpret and easy for models to hallucinate or misreport.
Artifacts solve this by offering concrete evidence, not just textual logs.
3. Two Distinct Work Modes: Editor View and Manager View
Antigravity introduces two interface modes:
Editor View
- Works like a traditional IDE
- AI assistant lives in a side panel
- Ideal for hands-on coding
Manager View
- Designed for coordinating multiple agents
- Allows parallel workflows across projects
- Works like “mission control” for autonomous agents
This dual-mode approach lets beginners and power users work efficiently.
4. Enhanced Feedback and Collaboration Tools
Developers can leave comments directly on Artifacts, allowing feedback without interrupting agent workflow. The agent takes comments into account on the fly.
5. Agents Can Learn From Past Work
Antigravity agents can store:
- Useful code snippets
- Repeated procedures
- Steps required to complete recurring tasks
This means agents become more effective over time—similar to long-term memory for coding.
How to Get Started with Antigravity Gemini 3 Pro
Setting up Antigravity is a shift from traditional coding to “control room” management. To unlock its full autonomous potential, follow these core steps:
- Installation & Permissions: Download the client for macOS, Windows, or Linux from the official portal. Upon launch, grant “Computer Use” permissions; this allows the agent to control a sandboxed browser and terminal for real-time testing and deployment verification.
- The Dual-Surface Interface: Antigravity splits your workflow into the Manager View for high-level planning and the Editor View (VS Code compatible) for hands-on coding. Use Artifacts (Markdown docs) to keep your project plans separate from active code to prevent context loss.
- Deep Reasoning Activation: In the model settings, ensure Gemini 3 Pro is selected and toggle “Deep Think” for complex architectural tasks. This forces the model into a longer chain-of-thought reasoning process, drastically reducing errors in logic-heavy functions.
- Autonomous Feedback Loops: Connect your terminal to enable self-healing loops. When a test fails, the agent can automatically analyze the error, rewrite the code, and re-run the test until it passes.
GlobalGPT allows you to skip the complex Google Vertex AI enterprise licensing or regional waitlists. By using GlobalGPT, you get instant, high-speed access to the Gemini 3 Pro engine—alongside GPT-5.2 and Claude 4.5—ensuring you have the best reasoning power for your Antigravity workflows without the $200/month overhead.
Supported AI Models and System Requirements
Antigravity currently supports:
- Gemini 3 Pro (primary model)
- Claude Sonnet 4.5
- OpenAI GPT-OSS
It runs on:
- Windows
- macOS
- Linux
All users get free access with “generous” rate limits that refresh every 5 hours.
“Vibe Coding” and the Power of Gemini 3 Pro
- At its core, Google Antigravity leverages the record-breaking Gemini 3 Pro, a model that currently dominates the LMArena Leaderboard with an unprecedented 1501 Elo score, establishing itself as the premier engine for professional-grade AI development in 2025.
- The system excels at “Vibe Coding,” a revolutionary approach where developers can prototype entire front-end layouts and complex back-end architectures from a single, natural language “vibe” or prompt, drastically reducing the time between ideation and execution.
- Moving beyond basic chat, Gemini 3 focuses on autonomous agentic planning and long-running execution, enabling it to manage intricate, multi-file workflows that were previously impossible for standard LLMs to handle without constant human intervention.
Why Google Antigravity Matters for Developers
Antigravity represents a major shift in how development tools work. Instead of simply generating code, the AI can:
- Plan full solutions
- Execute tasks autonomously
- Provide audit-ready evidence
- Manage multi-step operations
- Collaborate as part of a team
This moves AI coding tools from “autocomplete on steroids” to true autonomous coding agents capable of building, debugging, testing, and verifying software at scale.
Google Antigravity vs. Cursor: Which IDE Should You Choose?
| Feature | Google Antigravity | Cursor / Windsurf |
| Core Model | Gemini 3 Pro (Optimized) | Claude 3.5 / GPT-4o |
| Autonomy Level | High (Multi-agent planning) | Medium (Chat & Autocomplete) |
| Transparency | Verifiable Artifacts (Snapshots) | Basic Terminal Logs |
| Tool Use | Native Browser & OS access | Restricted Toolsets |
| Best For | End-to-end task automation | Hands-on code refinement |
Final Thoughts
Google Antigravity is a bold step toward the future of AI-native software development. By combining Gemini 3’s power with multi-agent orchestration, browser control, terminal access, and verifiable Artifacts, Antigravity may set a new standard for how developers work with AI.
If you want an early look at agent-based coding workflows, GlobalGPT is your unrestricted gateway to Gemini 3 Pro and 100+ world-class AI models.
