How to Run Parallel AI Agents in Google Antigravity
Antigravity's real advantage is running several agents at once without merge chaos. This is the branch-and-scope workflow that keeps parallel agents sane.
Google Antigravity is a free agent-first IDE where AI plans tasks across editor, terminal and browser
Google Antigravity is a free agent-first IDE, launched in November 2025. Built on VS Code with Gemini 3 as the default model, it lets AI agents take a written task, produce a plan, then edit files, run terminal commands and drive a browser to verify the result.
Antigravity is Google’s answer to Cursor and Windsurf, but it pushes further in one direction: the agent, not the editor, is the primary interface. Instead of a chat sidebar, you get an Agent Manager that tracks several agents working on different tasks. Each agent produces artifacts — plans, task lists, screenshots, browser recordings — that you review.
It ships for macOS, Windows and Linux. Underneath it’s a VS Code fork, so existing extensions, keybindings and themes carry over.
Yes, at the time of writing. Antigravity launched in public preview at no cost, with usage rate-limited per model rather than priced per token. Google hasn’t published a commercial pricing page yet, so anyone building a business on it should expect that to change. Compare that to Cursor’s $20/month Pro plan or Windsurf’s $15 entry tier, and the free preview is the main reason people are trying it.
Try it if you want agent autonomy without a subscription, or if your work involves verifying browser behaviour. Skip it if you need stability for a production team — this is preview software, and preview software breaks. Skip it too if you’re locked into JetBrains IDEs or need a support contract.
The honest complaint: agent-first workflows are impressive in demos and slower in practice. Reviewing an agent’s twenty-step plan takes real attention, and a wrong assumption near step three wastes everything after it. Keep tasks small.