- Officially available for macOS, Windows, and Linux with a Google account.
- Autonomous agents with integrated browser and verifiable artifacts.
- Configurable Planning/Fast modes and execution and review policies.
If you have arrived looking for Download Google Antigravity for Windows and MacHere's the guide you've been waiting for: what exactly this IDE with autonomous agents is, how to install it step by step on macOS and Windows, requirements, initial setup, usage tips, and solutions to common errors. All with a practical approach and in everyday language, so you don't get lost in technical jargon.
Antigravity is a development platform that puts the AI agents at the centerThey plan, program, test, browse the web, and validate their own work while you focus on architecture and decision-making. Throughout this article, you'll see how to leverage Mission Control (the agent manager), the VS Code-style editor, and the integrated browser and the verifiable artifacts that document everything the agents do.
What is Google Antigravity and why does it matter?
Antigravity is a “agent-first” IDE which evolves the classic editing experience into an orchestration of autonomous tasks. Instead of simply autocomplete, agents can plan and execute complex engineering tasks asynchronously, even working in parallel on different objectives while you monitor progress from a "Mission Control" style panel.
The interface rests on three surfaces: a Agent Manager to orchestrate goals, a VS Code-based Editor for editing and reviewing changes, and deep Chrome integration that allows agents test apps as a person would (clicks, forms, navigation, captures and recordings).
In addition to relying on models such as Gemini 3 ProThe environment exposes the results through “artifacts”, clear deliverables that justify decisions and changes (plans, diffs, screenshots and videos(test results). This closes the famous “trust gap”: it’s no longer “trust me”, but “look at the evidence”.
According to available information, the launch of Antigravity has coincided with advancements in Gemini 3 and performance benchmarks such as SWE-bench Verified y Terminal Bench, positioning it as a very serious proposal compared to assistants who only complete code.
Availability, requirements, and Google account
Antigravity is available for macOS, Windows and LinuxThe documentation and guides circulating mention two sets of requirements: on the one hand, support is mentioned for macOS from 10.15 onwards, 64-bit Windows 10/11, and popular Linux distributions; on the other hand, specific optimization is mentioned for Apple silicon On Mac, it supports x64/ARM64; on Windows, it supports glibc/glibcxx; and on Linux, it supports glibc/glibcxx. If your hardware is limited, you should check both lists before installing.
You will need a Google account (The guides recommend a personal Gmail account in the preview) to authenticate and use the templates. During startup, an associated Chrome profile is created to enable agent-assisted navigation, so don't be surprised to see permissions for file access, network and accessibility in the system.
A useful note: it has been mentioned that the preview includes free installments For premium models. If you see limit warnings, you may have reached your daily quota for the top-of-the-range model; the app itself will tell you.
Download and install on macOS
For Mac, the flow is straightforward: go to antigravity.google/downloadDownload the installer for your architecture (recent guides suggest “Download for Apple Silicon”) and open the .dmgDrag the app to Applications, launch it, and complete the Google sign-in. On first run, Antigravity initializes the workspace and downloads components, which may take a few minutes.
macOS may display the classic “unverified developer” warning on newly released apps. If this happens, enable “Open equally"From System Settings > Privacy and Security, and check accessibility or disk permissions if the system prompts you for them."
During the initial wizard you will be able to Import settings From VS Code or Cursor, choose a theme (dark or light) and define the agent's operating mode. It's best to follow the recommended path and refine the details later: Antigravity is flexible and allows for changes on the fly.
Download and install on Windows
On Windows, visit antigravity.google/download and choose the x64 or ARM64 installer depending on your computer. Double-click on the .exe and follow the wizard (if SmartScreen warns you, select "More information" > "Run anyway"). You can leave the default path as "C:\\Program Files\\Google\\Antigravity".
When finished, open the application from the Start menu, authenticate with your Google account and wait for it to synchronize components. If you use corporate policies, your IT department may need to approve the use of OAuth with Antigravity; in that case, request the appropriate permission.
As in macOS, the first launch activates the wizard to import settings, adjust the theme, and define the extent to which the agent will have autonomy when executing commands or requesting reviews.
Linux installation (and quick notes)
In Linux there are two ways: repository (APT or DNF, depending on the distro) or Direct download of .deb/.tar.gz packages. The most common examples point to Ubuntu 20+, Debian 10+, Fedora, and RHEL, with requirements of glibc >= 2.28 and glibcxx >= 3.4.25. If you encounter broken dependencies, a apt update && apt upgrade Pre-installation can save you headaches.
For Fedora and derivatives, DNF is usually achieved with a “sudo dnf install antigravityOnce the package is in the appropriate repositories, after installation, launch "antigravity" from your app launcher or terminal and complete the process. Google login.
Initial Assistant: Agent Autonomy and Policies
Once inside, you'll see a wizard where you define the agent's working style. Antigravity offers four preset approaches: Agent-driven development, Agent-Assisted Development, Review-based development y Custom settingsThe "assisted" mode is usually the most balanced middle ground.
This adjustment is complemented by two specific policies. Terminal execution policy Determines whether the agent can execute shell commands without requesting permission: “Off” (never except on a whitelist), “Auto” (decides when to request approval), and “Turbo” (executes except on a blocklist). You decide the level of trust.
The second is the Review policy“Always Proceed” (does not request review), “Agent Decides” (the agent decides whether to consult), and “Request Review” (always asks for your approval). These options balance human control and speed, and can be changed during the conversation.
Mission Control (Agent Manager) and Editor
Antigravity clearly divides the experience between the Agent Manager and the Editor. When you open the app you will usually see Mission Control: there you define high-level goals (“refactor authentication”, “update dependencies”, “generate billing proofs”) and monitor the progress of several agents in parallel.
Mission Control stands out Inbox with all your conversations, “Start Conversation” to open a new one, “Workspaces” to switch between local folders, “Playground” as a drafts area, and shortcuts to switch to Editor view or the browser, all within easy reach.
In each conversation you can choose the model (depending on availability) and the agent mode: “Planning” if you need in-depth research, detailed plans and artifacts, or “Fast” if you urgently need a small change (renaming, simple commands, spot tweaks).
The Editor, for its part, retains the familiarity of the VS Code environment (file explorer, syntax, extensions) and adds the agent panel on the right and “inline commands” to select code and request contextual changes without leaving the file.
When the agent needs to interact with the web, it invokes a browser sub-agent which operates in a Chrome instance managed by Antigravity. This subagent can read the DOM, scroll, click, type, capture screenshots, log the console, and even record a video of your session.
The first time the agent tries to “open the web”, the app will guide you through installing the Chrome extensionThe typical flow: you start a conversation (for example in Playground), you ask "go to antigravity.google", the agent detects that configuration is missing and shows you the "Configure" button. You install the extension and grant permissions.
Once ready, you'll see that the managed browser is framed with a blue border when controlled by the agent. From Mission Control, you can grant specific permissions and monitor them in real time. which pages does it access and what artifacts it generates as a result of its work.
Verifiable artifacts: evidence of what AI does
The agent's "language" with you is the artifactsIt's not limited to a chat; it delivers verifiable pieces: task lists and plans, code diffs, "before/after" screenshots, browser recordings and results of unit or integration tests.
In the Administrator view, you'll see a toggle switch to show/hide artifacts. If you turn it on, the following will appear: list of associated evidence to the current conversation: you can consult them, leave comments in the style of Google Docs and ask for iterations on a specific point.
This dynamic brings transparency: when the agent claims to have "fixed a bug", you review the tangible proof (diffs, passing test, video of the workflow played). Ideal for teams that want traceability and for reviewing without having to run everything locally.
Practical use cases that work
To get an idea, three real-life examples are very helpful. First, a simple task of news compilationAsk the agent to visit Google News, extract headlines, and summarize the relevant information for you. You'll see it open the browser, navigate, capture data, and return the results.
Second, the creation of a dynamic site with Python and Flask For a one-day event (eight talks, speakers, search by category/author/title, lunch break, simulated data). The agent plans, implements, starts a local server, and provides you with the URL; if port 5000 is busy, it will automatically look for alternatives (e.g., 8080).
Third, a productivity app with a Pomodoro timerThe agent generates the front-end, validates the states in the embedded browser, and produces a media artifact with the verification video. If you request style changes or want to add a timer image, update the plan, iterate, and test again.
Finally, a test example: starting from a Python module (order logic with inventory, payment, discounts and exceptions), the agent can generate unit tests with mocksRun them and attach the reports. You keep the test code and the execution evidence, ready for CI.
Tricks to get the most out of agents
Specific instructions work better: instead of “log in”, ask for a login with JWTPassword recovery via email, Redis sessions, and attempt limits. The more contextual information, the more refined the plan the agent produces.
Divide large projects into Phases: Backend API first, then front-end, and finally integrations. This gives you checkpoints to review artifacts, request changes, and keep the architecture aligned.
Share artifacts in the code reviews of the team. They help to understand why specific decisions were made and facilitate the transfer of knowledge, something key in distributed teams.
Common problems and how to overcome them
On macOS, the warning “The developer cannot be verifiedSolution: System settings > Privacy and security > allow opening anyway. This is the typical procedure with new apps.
If Windows Defender stops the installation, use “Request More InformationSelect "Run anyway" and, if necessary, add an exclusion from Windows Security. Also, always make sure to download from the official website.
On Linux, if dependencies fail, check that you meet glibc/glibcxx and run a upgrade of the system before installing the Antigravity package. On older distributions, you may need to update the version.
With Google Sign-In, some users have commented that browser authentication works well, but the relink to the app It takes a while or doesn't respond at all on the first try. There have been cases where trying with Brave, Chrome, Safari, or Zen finally worked after several attempts (in one case, a dozen with Brave and a personal account). If this happens to you, clear your cache/cookies and try a different combination of... browser + account.
Security, data and control in companies
Like any cloud-based AI tool, it's worth reviewing the data policy Applicable to Antigravity: what is stored, for how long, and whether it is used for training. Many companies require opt-out for training with their proprietary code.
For extremely sensitive components (key algorithms or modules of critical security), it may be prudent to maintain local development and use Antigravity for less confidential tasks while the legal and security team evaluates the workflow.
If you work with Google Workspace, activate Access controls and auditing. It is important that IT can manage permissions, monitor usage, and enforce policies in line with compliance requirements.
Features that make the difference
Antigravity doesn't stick to a single model: in addition to Gemini 3Options using Claude Sonnet 4.5 and GPT-OSS variants are mentioned. This allows you to choose the most suitable AI for each task (complex architecture, detailed documentation, or rapid prototyping).
Communication based on artifacts It replaces "loose text" with structured reports that include reasoning and trade-offs. For managers and code reviewers, this traceability reduces friction and raises the bar for quality in remote teams.
The “native browser” testing with the Chrome extension allows agents to test interfaces like QA would: they click, fill out forms, navigate, and verify. real behaviors that static analysis would overlook.
The public preview mentions a generous free plan with limits that, based on early experience, allow for the development of several complete apps per day. Once the product stabilizes, paid plans for teams and businesses are expected to be introduced.
Competition, market and positioning
The ecosystem is moving fast. Platforms like Cursor They have grown strongly, and Antigravity is making a splash with an agent-based approach and deeper browser integration. Milestones such as market valuations and significant acquisitions in the sector have been cited, along with the arrival of Gemini 3 and its qualitative leap in reasoning.
Beyond headlines, the key is that the developer goes from "typing each line" to being architect and validatorrelying on agents who handle the mechanical aspects. It's not about replacing talent, it's about multiplying it with a different workflow.
Learning resources and community
To get comfortable, you have the official documentation at antigravity.google/docs, video tutorials (including a “learn the basics” tutorial with a team engineer), a blog for news, and an active community on Reddit/Discord with examples of prompts and flows.
You'll also find repositories with sample projects (from simple websites to microservices), ideal for understanding how the agent dissects each problem and what artifacts it produces in the process.
Third-party download sources: an important distinction
Although there are popular app stores and repositories, remember that Antigravity is a desktop IDE cross-platform, development-oriented. For example, Uptodown presents itself as a cross-platform store specializing in Android whose objective is to facilitate legal and unrestricted access to a large catalog; it is useful in its field, but for Antigravity, the recommended approach is download from the official website from Google to avoid integrity issues or outdated versions.
If you're looking to download Google Antigravity on Windows or Mac, you now have the complete roadmap: requirements, installation, initial agent autonomy decisions, how to use Mission Control and the Editor, enabling the browser, validating with artifacts, and resolving typical issues. With this foundation, you can put agents to work planning, scheduling, and testing while you focus on the rest. design the solution with discretion.
Table of Contents
- What is Google Antigravity and why does it matter?
- Availability, requirements, and Google account
- Download and install on macOS
- Download and install on Windows
- Linux installation (and quick notes)
- Initial Assistant: Agent Autonomy and Policies
- Mission Control (Agent Manager) and Editor
- Browser integration: subagent and extension
- Verifiable artifacts: evidence of what AI does
- Practical use cases that work
- Tricks to get the most out of agents
- Common problems and how to overcome them
- Security, data and control in companies
- Features that make the difference
- Competition, market and positioning
- Learning resources and community
- Third-party download sources: an important distinction