Google Antigravity 2.0: The Full Developer Guide (I/O 2026) 

Google didn’t simply ship an replace at I/O 2026. They redrew the map. 

Google Antigravity 2.0 dropped on Could 19^th and it’s not an IDE refresh. It’s a full platform pivot from AI assisted coding, to multi agent orchestration because the core improvement mannequin. Should you’ve been keeping track of the Agentic coding race between Cursor, GitHub Copilot, and everybody else, Google’s right here with its two cents.

What Is Google Antigravity?

Antigravity was first launched in November 2025, with Gemini 3, as a solution from Google as to what it may provide when it got here to a free IDE for brokers. It was a succesful product however its scope was restricted. This supplied the consumer with a sensible coding assistant inside a well-known interface. 

Antigravity 2.0 has been utterly rebuilt by Google as a standalone desktop utility that has no ties to Antigravity 1.0. As a substitute, the two.0 model was created and designed from the bottom as much as help agent orchestration performance. Antigravity 1.0 remains to be accessible to be used, however Antigravity 2.0 has grow to be their new flagship product. Antigravity 2.0 was constructed for a workflow the place the consumer will direct brokers, versus prompting an auto-complete engine.

The pitch of Antigravity hasn’t modified, which remains to be you can take an concept, and ship it as a manufacturing app. The principle distinction is that there’s additionally a CLI, SDK and managed cloud brokers now which supplies the consumer much more floor space than was provided with Antigravity 1.0. 

Key Options of Antigravity 2.0

The standout options of Antigravity 2.0 are: 

1. The Standalone Desktop App 

The brand new desktop utility will function the primary function of the discharge. This utility serves as your major hub for coordinating a number of brokers that run concurrently, in addition to for creating customized workflows for sub-agents and for scheduling duties that might be carried out mechanically within the background. 

The scheduled job’s operate is a kind of issues that may simply be ignored; nonetheless, it’s fairly revolutionary. Beforehand, in the event you needed an agent to carry out a job for you, you would need to immediate the agent every time you needed the duty carried out. Now, by creating one job setup and giving the agent the flexibility to do it mechanically, the agent is now extra like a steady background course of. 

Moreover, there are native voice instructions that you should use to regulate Antigravity 2.0. It could not look like a big addition. Nonetheless, it’s in keeping with the voice integration being applied into Gmail and Docs, subsequently it suits nicely. 

2. The Antigravity CLI 

For builders who kinda want the terminal, Google constructed a model new Antigravity CLI from scratch in Go. It strikes faster than what got here earlier than. And it totally replaces the Gemini CLI which is getting retired.   

For shopper entry to Gemini CLI, there’s an finish date June 18, 2026, for AI Professional, AI Extremely, and free-tier customers. This isn’t a delicate deprecation, however extra like a tough cutoff.   

The CLI retains the Gemini CLI bits builders used, Agent Abilities, Hooks, Subagents, and Extensions (however now they’re renamed Antigravity plugins). The principle factor to understand is that the CLI and the desktop app run on the identical underlying agent harness. So, any enhancements Google ships into the core brokers, they land on each surfaces mechanically. You don’t have to select one and lose out on the continuing updates to the opposite. 

3. The Antigravity SDK 

With the SDK you get programmatic entry to the identical agent harness that powers Googles inner stuff, you understand. It’s designed for Gemini fashions, and it allows you to form customized agent behaviors, then run them wherever your individual infrastructure lives. Mainly, that is the selection for engineering groups that need Antigravity-style brokers embedded into their merchandise, with out having to depend on Googles cloud. 

4. Managed Brokers within the Gemini API

That is the function that, actually, will get essentially the most use with backend builders. With only one API name, you’ll be able to spin up an agent that causes after which makes use of instruments, then it executes code in an remoted Linux place.   

Three issues make it work:   

• Antigravity agent harness: The identical form of expertise Google makes use of internally, co-optimized with Gemini 3.5 Flash.   
• Persistent remoted environments: Each time you work together, it creates an surroundings you’ll be able to resume later in follow-up calls. The information and the state keep intact between turns, like no resets.   
• Customized agent definitions: You possibly can prolong the bottom agent through the use of markdown ability information, and there are new agent templates within the Google AI Studio Playground that enable you to begin quick, kinda instantly. 

5. Antigravity within the Gemini Enterprise Agent Platform 

In case you are a buyer of Google Cloud, the enterprise path lets you join Antigravity on to your present Google Cloud tasks. That is necessary for groups needing agent workflows which can be inside their present cloud infrastructure, in addition to having applicable entry controls and a whole audit path. 

The Mannequin Working It All: Gemini 3.5 Flash

Entire Antigravity 2.0 eco system simply defaults to Gemini 3.5 Flash. Per Google, it beats Gemini 3.1 Professional on most benchmarks too, and it’s roughly 4 occasions faster than different frontier fashions. That hole issues lots as soon as you start operating a number of parallel brokers, as a result of mannequin latency doesn’t keep put. It form of stacks up quick.  

Even a 200ms distinction per name turns into a couple of seconds of lag when ten brokers are firing on the identical time. Additionally, Gemini 3.5 Flash wasn’t in-built some completely separate method: it was co-developed utilizing Antigravity itself. Google’s workforce used the exact same agentic workflows they’re now rolling out to everybody. 

Getting Began with Antigravity 2.0

Step 1: Obtain  

Go over to antigravity.google/download, seize the installer on your OS, and run it. 

Step 2: Onboarding  

Launch the app and click on by way of the setup, when it asks about agent mode, select Assessment-Pushed Improvement (advisable). This one lets the agent transfer by itself but it surely nonetheless asks on your approval earlier than something “large” occurs, like significant adjustments.

Step 3: Sign up  

Sign up utilizing your Google account. On the free tier you get entry to Gemini 3.1 Professional, Claude Sonnet 4.5, and gpt-oss, principally. 

Step 4: Open a workspace  

Click on Open Folder and choose your undertaking listing. You must land within the Agent Supervisor, consider it as your mission-control for all agent exercise.

Step 5: Set up the browser extension  

In order for you the agent to browse the net, give it a job with a URL (like go to antigravity.google). It should ask you to put in the Chrome extension. Hit Setup and simply comply with the on-screen stream. 

Step 6: Begin a dialog  

Press Begin Dialog, kind your job, and choose your agent mode. For complicated multi-file work, select Plan. For fast one-liners select Quick, no have to overthink. You may as well use @filename to connect particular information as further context. 

Because it runs, the agent creates Artifacts: job lists, implementation plans, code diffs. You assessment these in Agent Supervisor, add feedback if wanted, or approve so it continues. 

Palms-On: Construct a To-Do App from Scratch

Constructing: A FastAPI backend to permit including, itemizing and deleting gadgets together with an HTML and JS entrance finish. 

1. Utilizing Agent Supervisor, begin a brand new dialog within the workspace and swap to Plan mode. 

2. Enter the next immediate: 

“Create a to-do utility with FastAPI because the backend and plain HTML and Javascript because the entrance finish. The endpoints are: 
- add a job 
- checklist all duties 
- delete a job utilizing its ID. 
All duties might be saved in reminiscence. Present a necessities.txt file.”

3. Assessment plans made by the agent to create the Process Listing and Implementation Plan earlier than any information have been created. If it’s essential to make any modifications, add feedback; if okay, press the approve button. 

4. Because the App builds, watch the information be added in real-time beneath Editor. The next information might be created: important.py, index.html, necessities.txt. To view information as they’re created, click on on the Editor tab. 

5. Execute app. To seek out precise command used to run agent’s first file, view agent’s Walkthrough artifact: it should appear to be: 

uvicorn important:app –reload