What Is Google Antigravity? A Guide to Google's AI Coding Tool

By RQ Editorial Team · Updated October 7, 2026

RQ is reader-supported: if you buy through links on this page, we may earn a commission at no extra cost to you. How we review.

Google is reimagining the future of software development with the launch of Antigravity, a powerful “agent-first” platform designed to manage and collaborate with multiple AI coding agents. Moving beyond simple code completions, Antigravity acts as a central command center where autonomous agents can be launched, monitored, and orchestrated to handle complex coding tasks asynchronously. Powered by models like Gemini 3 Pro, Claude Sonnet 4.5, and OpenAI’s GPT-OSS, this suite of tools is built for an era where developers manage AI agents as teammates, not just as assistants. The platform is now available in a public preview, offering developers a new way to scale their engineering efforts by giving AI agents greater autonomy and providing the tools to verify their work.

What is Google Antigravity?

Google Antigravity is a comprehensive software development platform that functions as an agentic development environment. Unlike traditional integrated development environments (IDEs), Antigravity is built from the ground up with the core premise that AI agents are primary actors in the coding process. As described by VentureBeat, the platform aims to “evolve the IDE toward an agent-first future with browser control capabilities, asynchronous interaction patterns, and an agent-first product design.”

The platform is architected around four key principles: trust, autonomy, feedback, and self-improvement. This sets it apart by focusing on creating a collaborative environment where agents can work independently while providing developers with the necessary context to review and verify outcomes. The entire suite consists of four main components: the flagship Antigravity 2.0 desktop application, the Antigravity IDE, a Command-Line Interface (CLI), and a Software Development Kit (SDK) for building custom agents.

How Google Antigravity Works: Projects and Artifacts

At the heart of Antigravity’s workflow is the concept of a “Project.” As explained in the Google Codelabs, a project is not just a single folder but a combination of folders that define the environment and scope for your AI agent. This allows an agent to work with multiple related codebases simultaneously, such as a frontend and a backend repository, providing it with all the necessary context. Each project has its own isolated settings, enabling developers to customize security and agent behavior on a per-project basis.

The most critical innovation for building trust in Antigravity is the use of “Artifacts.” These are rich documents and recordings that the agent produces to communicate its work and rationale to the human developer. Instead of a developer having to sift through a long list of an AI’s actions and tool calls, Antigravity agents generate structured, human-readable outputs. According to the codelab, these artifacts include:

• Task Lists: A structured plan generated by the agent before it begins writing code.
• Implementation Plans: Technical details outlining the architectural changes needed to accomplish a task.
• Walkthroughs: A summary of completed changes and instructions on how to test them.
• Code Diffs: Standard code differences for line-by-line review.
• Screenshots and Browser Recordings: Visual proof of UI state before and after a change.

These artifacts are designed to solve the “trust gap,” allowing a developer to quickly verify that an agent has correctly fixed a bug or implemented a feature without manually reading every line of code.

The Four Surfaces of Antigravity

Google offers Antigravity through four different interfaces, allowing developers to choose the tool that best fits their workflow. As detailed on the Google Cloud Blog, all surfaces run on the same underlying “agent harness,” ensuring consistency in capabilities.

Antigravity 2.0: The Standalone Agent Manager

Antigravity 2.0 is the flagship desktop application for macOS, Linux, and Windows. It has evolved from a simple IDE integration into a full-fledged command center for orchestrating multiple autonomous agents working in parallel across independent projects. This standalone app lets you run and monitor long-running tasks without blocking your primary coding workspace. A key feature is the ability to schedule tasks, such as regular code quality checks or dependency updates, making it ideal for project management at scale.

Antigravity IDE: The Integrated Editor Experience

The Antigravity IDE is the original, fully-featured agentic integrated development environment. It is recommended for developers who want to code side-by-side with an agent, seeing exactly what code is being edited and accepting or rejecting changes in real-time. This surface offers a more traditional, synchronous coding experience with deep integration, including built-in debugging where the agent can see runtime errors and suggest fixes directly in the editor.

Antigravity CLI: For Terminal and Headless Workflows

Built in Go for speed, the Antigravity CLI is a command-line interface designed for developers who live in the terminal. It provides fast, keyboard-driven navigation and the ability to start background agents without locking up the active command-line window. The CLI is the best choice for headless execution, such as working over SSH or inside remote containers.

Antigravity SDK: For Building Custom Agents

The Antigravity SDK is a Python library for developers who want to build their own custom agents from scratch. By using the same shared harness as the official tools, these custom agents get direct access to Antigravity’s core tools and rules. This allows for deep customization and the ability to deploy bespoke agents to Google Cloud with zero code changes.

Getting Started with Antigravity

Google Antigravity is currently in a public preview and is free to use. As reported by The Verge, it comes with “generous rate limits” on the use of the Gemini 3 Pro model, which refresh every five hours. The platform also supports Anthropic’s Claude Sonnet 4.5 and OpenAI’s GPT-OSS, giving developers flexibility in their choice of underlying AI model.

To begin, you can download the application from the official Antigravity Download Page. For those new to the platform, the official documentation recommends starting with “Review-driven development,” a mode where Antigravity asks for approval before executing each command. This provides a safety net as you become familiar with the agent’s capabilities and build trust in its autonomous functions.

Frequently Asked Questions

Is Google Antigravity free to use?

Yes, Google Antigravity is currently available as a free public preview. It includes generous rate limits for using the Gemini 3 Pro model, which refresh periodically. Only a “very small fraction of power users” are expected to encounter these limits.

What AI models power Google Antigravity?

Antigravity is powered by a choice of leading large language models. Developers can use Google’s own Gemini 3 Pro, Anthropic’s Claude Sonnet 4.5, or OpenAI’s open-source GPT-OSS model to drive their coding agents.

What’s the difference between Antigravity 2.0 and the Antigravity IDE?

The key difference is their focus. Antigravity 2.0 is a standalone desktop “Manager” application designed for orchestrating multiple agents and projects asynchronously. The Antigravity IDE is a traditional code editor with an integrated agent panel, ideal for developers who want to code synchronously with an AI partner.

How does Antigravity ensure the code it produces is correct?

Antigravity builds trust through its “Artifacts” system. Instead of just delivering code, the agent produces task lists, implementation plans, walkthroughs, and visual proofs like screenshots. These artifacts provide a verifiable trail of the agent’s reasoning and actions, allowing developers to review work at a high level of abstraction rather than inspecting every line of code.