
Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.
Google Antigravity is an AI-powered, agent-first development platform and IDE from Google, released alongside the Gemini 3 model family. Built as a fork of Visual Studio Code, it lets developers delegate complex software tasks to autonomous agents that can plan, code, test, and debug across an integrated editor, terminal, and browser. Antigravity’s Agent Manager view orchestrates multiple agents in parallel workspaces, while the Artifacts system surfaces verifiable plans, patches, logs, and screenshots so developers can inspect how work was done. The platform supports multiple models, including Gemini 3 Pro and other leading AI models, and is available as a free preview with generous usage limits on Windows, macOS, and Linux.
Product overview
Google Antigravity is a developer-focused agent suite rather than a general-purpose assistant. Its current surfaces include a multi-agent command center, terminal CLI, Python SDK, and agentic IDE for planning, implementing, testing, and reviewing software work.
Information as of August 15, 2026
Antigravity 2.0 groups conversations into projects, operates across multiple workspaces, and manages multiple local agents and scheduled messages.[1]
The CLI runs autonomous coding agents, shell commands, and background subagents from a terminal-first interface.[1]
The Python SDK supports prototyping custom agents and automating software-engineering tasks and evaluations on the Antigravity harness.[1]
Antigravity has a $0 individual plan with basic weekly rate limits. Google AI Pro and Ultra provide larger limits and flexible AI credits, while organization access is offered through Google Cloud with consumption-based pricing; exact paid-plan prices were not shown on the checked page.[3]
Platforms: macOS, Windows, Linux, Terminal CLI, Python SDK, Agentic IDE[1], [2], [3]
Access: Local project folders, Isolated Git worktrees, Google Cloud organization access[1], [2], [3]
78/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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For in-house software product engineering teams
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