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Google Antigravity is an AI-powered integrated development environment (IDE) by Google, prioritizing autonomous AI agents for software development.
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overview
Google Antigravity is an AI-powered integrated development environment (IDE) tool developed by Google that enables software developers to orchestrate autonomous AI agents to plan, execute, and verify complex engineering tasks. It operates on an 'agent-first' paradigm, primarily powered by Google's Gemini 3.1 Pro and Gemini 3 Flash models. Announced on November 18, 2025, alongside the release of Gemini 3, Google Antigravity allows developers to delegate complex coding tasks to AI agents. These agents autonomously plan, execute, and verify tasks across the editor, terminal, and an integrated browser. Key functionalities include planning, writing, testing, and verifying code, debugging, generating documentation by analyzing project files and functions, and optimizing code for performance. The platform is designed to handle multi-tool software tasks, enabling agents to manage end-to-end workflows such as writing new features, launching applications via the terminal, and testing them in a browser. It also supports routine tasks like codebase research and bug fixes.
quick facts
| Attribute | Value |
|---|---|
| Developer | |
| Business Model | Freemium / Hybrid |
| Pricing | Free for Public Preview; usage-based for Google AI Pro/Ultra plans |
| Platforms | Linux, API |
| API Available | Yes |
| Founded | November 18, 2025 (Public Preview) |
| HQ | Mountain View, USA |
features
Google Antigravity provides a suite of features designed to enhance software development through autonomous AI agents, integrating advanced AI capabilities directly into the development workflow.
use cases
Google Antigravity is primarily designed for software developers seeking to leverage autonomous AI agents for various stages of the software development lifecycle, from planning to verification.
pricing
Google Antigravity operates on a freemium model, offering a free public preview tier with varying rate limits, and paid tiers that utilize AI credits for expanded usage. Pricing for paid tiers is dynamically correlated with the amount of work performed by the agent and is based on Vertex AI API pricing for token consumption.
competitors
Google Antigravity is positioned as an 'agentic development platform' focusing on autonomous AI agents for orchestrating and verifying complex software tasks. It differentiates itself from traditional AI code assistants by emphasizing agent autonomy and parallel workflows.
It integrates Google's Gemini AI directly into IDEs and the terminal for comprehensive software development lifecycle support, including multi-file edits and full project context.
Similar to Google Antigravity, Gemini Code Assist provides an agent-first approach across the editor and terminal, offering a freemium model for individuals and enterprise options for teams.
CrewAI is an open-source Python framework specifically designed for orchestrating collaborative, role-playing autonomous AI agents into teams to complete complex tasks.
Unlike Google Antigravity, which is presented as a comprehensive platform, CrewAI is a framework, offering developers more granular control and flexibility in building their agentic systems, with an open-source (free to use) model.
It is an open-source framework from Microsoft for building multi-agent AI systems that can converse and collaborate to solve tasks, including software engineering workflows.
Similar to CrewAI, AutoGen is an open-source framework for multi-agent orchestration, providing a foundational layer for developers to build agentic solutions, whereas Google Antigravity is described as a more integrated, agent-first development platform.
Kiro focuses on autonomous agents that work independently on development tasks, planning, coding, testing, and creating pull requests across multiple repositories.
Kiro directly competes by offering an autonomous agent that handles complex engineering tasks across repositories, similar to Antigravity's agent capabilities, but appears to be a distinct product with a preview/paid model rather than a broad platform.
Google Antigravity is an AI-powered integrated development environment (IDE) tool developed by Google that enables software developers to orchestrate autonomous AI agents to plan, execute, and verify complex engineering tasks. It operates on an 'agent-first' paradigm, primarily powered by Google's Gemini 3.1 Pro and Gemini 3 Flash models.
Yes, Google Antigravity offers a 'Free for Developers (Public Preview)' tier with generous weekly API rate limits. For higher usage and advanced features, Google AI Pro and Google AI Ultra/Workspace AI Ultra for Business plans are available, which are variable and utilize AI credits based on Vertex API pricing for token consumption.
Key features of Google Antigravity include tab autocompletion, natural language code commands, synchronized agentic control, user feedback integration, and the ability to manage multiple AI agents in parallel. It supports autonomous planning, execution, and verification of complex engineering tasks across the editor, terminal, and an integrated browser, generating verifiable deliverables like task lists, screenshots, and browser recordings.
Google Antigravity is intended for software developers, including frontend, full stack, and enterprise developers, who aim to delegate complex coding tasks to autonomous AI agents. It is particularly useful for orchestrating multiple AI agents across various workspaces, planning and testing web applications, and generating verifiable deliverables for engineering tasks.
Google Antigravity differentiates itself as an 'agentic development platform' with a focus on autonomous AI agents, unlike traditional code assistants. It competes with platforms like Gemini Code Assist (another Google offering with broader IDE integration), and open-source frameworks such as CrewAI and Microsoft AutoGen, which provide more granular control for building multi-agent systems. Kiro also offers autonomous agents for development tasks, positioning it as a direct competitor in the autonomous agent space.