Antigravity is Google’s agentic development platform where AI agents work across editors and terminals, supervised through a shared mission-control interface.
Antigravity treats agents as teammates that can plan and execute across a codebase, then present their work in reviewable artifacts such as diffs, browser previews and recorded demos. It runs Gemini agents in a workspace where multiple agent threads work in parallel while you steer and approve.
The platform connects to your editor and terminal, integrates with Google’s models and tooling, and emphasizes verifiable results: agents run the code, capture screenshots and produce evidence that the work does what it claims. It represents Google’s bet that development environments should be agent-first rather than editor-first. Evidence artifacts such as recordings and screenshots make reviews faster and more convincing than reading diffs alone. Parallel agent threads suit tasks that decompose naturally, like test writing alongside feature work.
Antigravity is available with generous free access during its rollout, with usage limits that expand through Google account tiers. Enterprise and paid plans align with Gemini model access and higher agent capacity as the platform matures. Free access during rollout makes it easy to explore, with future pricing expected to align with Google’s broader AI subscriptions.
Antigravity is for developers curious about agent-first workflows, teams exploring how parallel agents can accelerate delivery, and Google-stack shops wanting native integration with Gemini tooling. It also appeals to early adopters who want to experience agent-first development workflows before they become mainstream.
Yes, Antigravity currently offers substantial free access with daily usage limits tied to your Google account. Higher capacities come with paid Gemini plans.
Antigravity is a development environment rather than a public API, though Google’s Gemini APIs provide the underlying models for teams building their own agent systems.
Antigravity competes with AI IDEs by centering agents rather than the editor, with verification artifacts as its signature. It is newer and less predictable than established IDEs, but its parallel-agent approach points where the category is heading. Antigravity offers a glimpse of where development environments are heading; teams wanting stability today may prefer established AI IDEs.