Google Antigravity 2.0: The Full Developer Information

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 growth mannequin. In the event 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 supply when it got here to a free IDE for brokers. It was a succesful product however its scope was restricted. This supplied the person with a sensible coding assistant inside a well-recognized interface. 

Antigravity 2.0 has been fully rebuilt by Google as a standalone desktop utility that has no ties to Antigravity 1.0. As an alternative, the two.0 model was created and designed from the bottom as much as assist agent orchestration performance. Antigravity 1.0 remains to be obtainable 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 person will direct brokers, versus prompting an auto-complete engine.

The pitch of Antigravity hasn’t modified, which remains to be which you could take an thought, 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 person much more floor space than was supplied 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 principle characteristic of the discharge. This utility serves as your main 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 shall be carried out routinely within the background. 

The scheduled activity’s perform is a type of issues that may simply be missed; nevertheless, it’s fairly revolutionary. Beforehand, should you needed an agent to carry out a activity for you, you would need to immediate the agent every time you needed the duty carried out. Now, by creating one activity setup and giving the agent the flexibility to do it routinely, the agent is now extra like a steady background course of. 

Moreover, there are native voice instructions that you should utilize to manage Antigravity 2.0. It might not look like a big addition. Nevertheless, it’s consistent with the voice integration being carried out into Gmail and Docs, due to this fact it suits nicely. 

2. The Antigravity CLI 

For builders who kinda desire 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 client 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 Expertise, Hooks, Subagents, and Extensions (however now they’re renamed Antigravity plugins). The principle factor to know 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 routinely. 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 helps you to form customized agent behaviors, then run them wherever your personal 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 characteristic that, actually, will get probably the most use with backend builders. With only one API name, you may 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 type 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 may resume later in follow-up calls. The recordsdata and the state keep intact between turns, like no resets.   
• Customized agent definitions: You may lengthen the bottom agent through the use of markdown talent recordsdata, and there are new agent templates within the Google AI Studio Playground that assist you to begin quick, kinda instantly. 

5. Antigravity within the Gemini Enterprise Agent Platform 

If you’re a buyer of Google Cloud, the enterprise path lets you join Antigravity on to your present Google Cloud tasks. That is vital for groups needing agent workflows which might be inside their present cloud infrastructure, in addition to having acceptable entry controls and an entire audit path. 

The Mannequin Operating 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 instances faster than different frontier fashions. That hole issues lots as soon as you start working a number of parallel brokers, as a result of mannequin latency doesn’t keep put. It type of stacks up quick.  

Even a 200ms distinction per name turns into a number of seconds of lag when ten brokers are firing on the identical time. Additionally, Gemini 3.5 Flash wasn’t inbuilt some completely separate method: it was co-developed utilizing Antigravity itself. Google’s staff 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/obtain, 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 Overview-Pushed Improvement (beneficial). This one lets the agent transfer by itself however it nonetheless asks on your approval earlier than something “large” occurs, like significant modifications.

Step 3: Register  

Register 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 challenge listing. You need to land within the Agent Supervisor, consider it as your mission-control for all agent exercise.

Step 5: Set up the browser extension  

If you need the agent to browse the net, give it a activity with a URL (like go to antigravity.google). It’s going to ask you to put in the Chrome extension. Hit Setup and simply comply with the on-screen circulate. 

Step 6: Begin a dialog  

Press Begin Dialog, kind your activity, 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 recordsdata as additional context. 

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

Fingers-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 activity 
- listing all duties 
- delete a activity utilizing its ID. 
All duties shall be saved in reminiscence. Present a necessities.txt file.”

3. Overview plans made by the agent to create the Job Listing and Implementation Plan earlier than any recordsdata have been created. If you could make any modifications, add feedback; if okay, press the approve button. 

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

5. Execute app. To search out precise command used to run agent’s first file, view agent’s Walkthrough artifact utilizing:

uvicorn most important:app –reload 

After working command, verify http://localhost:8000 in your internet browser and confirm all three endpoints. If any points come up, create follow-up immediate outlining drawback, thereby permitting agent to resolve in real-time throughout present session. 

Comparability Abstract: Antigravity 1.0 vs Antigravity 2.0

Issues Price Figuring out Earlier than You Construct

Listed here are few issues to bear in mind whereas utilizing Antigravity 2.0:

• The June 18, 2026 CLI cutoff is absolute. In case your staff has CI Pipelines or Scripts constructed utilizing Gemini CLI, that’s an pressing migration; deal with it as such. 
• Managed Agent Periods do expire: they exist per flip (inside a session), however don’t persist indefinitely. Consult with the Interactions API Documentation for particulars on Session TTL. You have to construct Session Expiry into any long-running workflows, or you’ll run right into a wall whenever you least anticipate it. 
• Parallel Brokers are by design completely remoted from one another. Subsequently, if there are a number of cases of an Agent that entry the identical codebase, they won’t be able to entry each other’s file modifications until you purposely route their outputs by way of some widespread layer. You need to design for this. 

Conclusion

Antigravity 2.0 is certainly a totally useful platform now. The desktop app with multi-agent orchestration, the Managed Brokers for persistent remoted environments, the Go-based CLI integrating probably the most present enhancements from the agent harness, and the SDK for customized deployments all exhibit that builders should take Antigravity’s capabilities severely. 

The I/O keynote demo made that clear. Varun Mohan stood on stage and had Antigravity’s parallel brokers construct a working working system core from scratch for beneath $1,000 in compute. Then ran a stay Doom clone on high of it. Whether or not that type of demo interprets on to your day-to-day work is a good query. However the underlying infrastructure it proved may be very actual. 

Knowledge Science Trainee at Analytics Vidhya
I’m at present working as a Knowledge Science Trainee at Analytics Vidhya, the place I give attention to constructing data-driven options and making use of AI/ML methods to unravel real-world enterprise issues. My work permits me to discover superior analytics, machine studying, and AI functions that empower organizations to make smarter, evidence-based selections.
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