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.
Currently, Gemini 3 Pro is only available to Google AI Ultra subscribers and paid Gemini API users. But there’s good news — as an all-in-one AI platform, GlobalGPT has already integrated Gemini 3 Pro, and you can try it for free.
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.
Supported AI Models and System Requirements
Antigravity currently supports:
- Gemini 3 Pro (primary model)
- Claude Sonetto 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.
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.
Pensieri finali
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, the free preview is one of the most accessible entry points today.
