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Google Antigravity

Google Antigravity is an agentic AI development platform for building, editing, testing, and orchestrating software projects with autonomous coding agents.

Pricing: On Demand  Category: AI & Chat

AI Coding AgentAgentic IDEDeveloper ToolCode AutomationAI Software Development

Google Antigravity is an agent-first AI development platform created by Google to help developers build software with autonomous coding agents. Instead of working only as a traditional code editor with autocomplete, Antigravity gives AI agents access to the editor, terminal, browser, and project workspace so they can write code, run commands, test changes, and verify results. Google describes Antigravity as an agentic development platform built for the agent-first era of software development.

The platform is designed for software developers, engineering teams, AI builders, technical founders, and product teams that want to move faster from idea to working application. Antigravity includes an Editor view with tab autocompletion, natural-language code commands, and context-aware agents, while Antigravity 2.0 adds a more dedicated agent platform for orchestrating multiple autonomous agents across independent projects.

One of Antigravity’s strongest advantages is its multi-agent workflow. Developers can assign tasks to agents, let them work in parallel, review their outputs, and inspect generated artifacts such as plans, task lists, screenshots, and browser recordings. Google’s launch blog describes agents writing code, launching localhost through the terminal, and using the browser to verify frontend changes.

Antigravity also supports MCP servers, including local and remote servers, which helps agents connect to external systems, tools, and Google Cloud services. Pricing currently includes an individual free plan listed at $0 per month with access to multiple agent models, while Google AI Pro and Ultra subscriptions provide higher usage limits for Antigravity. Overall, Google Antigravity is a strong option for developers who want AI agents to actively participate in coding, testing, debugging, and project execution rather than only suggest code snippets.