Google Antigravity

What is Google Antigravity?

Google Antigravity is an agent-first development platform. Google's own framing is telling: it's designed to let you operate at a higher, task-oriented level rather than line-by-line. Under the hood it's a familiar, AI-powered code editor — but bolted onto it is something most IDEs don't have: a dedicated surface for running whole fleets of AI agents.

The headline idea is the split between two surfaces. The Editor View is a state-of-the-art AI IDE with tab completions and inline commands — the part that feels like a modern Cursor-style editor. The Manager Surface is where Antigravity gets ambitious: it's a command center where you spawn, orchestrate, and observe multiple agents working asynchronously across different workspaces at once. Antigravity 2.0 even ships this as a standalone desktop app that pulls editor, terminal, browser, CLI, and SDK into one place.

Key Features

How to Use Antigravity

Getting started is standard IDE territory, with an agent twist:

1. Download and install. Grab the build for macOS, Windows, or Linux from the download page and install it like any desktop app.
2. Create a Project. A Project defines which folders and repositories your agents can access — add multiple folders to give an agent cross-repo context.
3. Start an agent. Type a goal like "add a new feature," then pick a mode: Local Mode (works in your active folders) or New Worktree Mode (isolated Git worktree).
4. Review the Artifacts. The agent produces a plan and deliverables you can inspect before accepting — then orchestrate more agents from the Manager surface.

The New Worktree Mode is a genuinely smart touch — it lets an agent go off and build in isolation without touching your working branch, which is exactly how you'd want an autonomous agent to behave. And because you can pick the model per task, you can hand cheap edits to Gemini Flash and route hard reasoning to Claude Sonnet 4.5.

Pricing Plans

The best part: Antigravity is free for individuals in public preview. Usage runs on Google's AI credits, and higher tiers unlock more capable models and bigger limits through Google's standard AI subscriptions.

Pricing reflects Google's AI plans as of mid-2026 and may change while Antigravity is in preview — check the official plans page for current numbers.

Pros and Cons

Best Alternatives

Antigravity lands in a crowded field of AI coding tools. Here's how it compares to the ones developers reach for most.

The quick read: Cursor is still the tightest pure editor, and Claude Code owns terminal-native agent workflows. But nothing else makes orchestrating a fleet of parallel agents a first-class surface the way Antigravity does — and it's free while it's in preview, which makes it very easy to try alongside whatever you use now.

Frequently Asked Questions

❓ What is Google Antigravity?

An agent-first development platform that combines an AI-powered editor with a Manager surface for spawning and orchestrating multiple AI agents, plus a terminal, browser, CLI, and SDK.

❓ Is Google Antigravity free?

Yes — it's free for individuals in public preview, with roughly 20 agent requests per day on Gemini Flash. Higher limits and stronger models come through Google's paid AI plans.

❓ Which models does it support?

Gemini 3 Pro with generous limits, plus full support for Anthropic's Claude Sonnet 4.5 and OpenAI's models — selectable per task.

❓ Does Antigravity replace Cursor or Claude Code?

Not necessarily — Cursor is a tighter pure editor and Claude Code owns terminal-native workflows. Antigravity's edge is orchestrating many parallel agents, and being free in preview makes it easy to run alongside them.

Final Verdict

4.6/5. Google Antigravity is the most credible attempt yet at making multi-agent development feel like a real product rather than a demo. The Manager surface, verifiable Artifacts, worktree isolation, and per-task model choice add up to a coherent vision of where agentic coding is heading — and the fact that it's free for individuals in public preview makes it a no-brainer to try. It loses a little for the usual preview caveats: shifting limits, a tight free tier, and a learning curve that comes with orchestrating agents instead of typing code. But if you want to see what agent-first development actually looks like in 2026, this is the tool to download first.