Google Launches Antigravity 2.0 at I/O 2026: Standalone Agent-First Platform with CLI, SDK, Managed Execution, and Enterprise Support

Google used its I/O 2026 developer keynote to post a meaningful architectural change in the way it integrates AI-assisted development. The company announced Google Antigravity 2.0 – a standalone desktop application built entirely around agent orchestration alongside the Antigravity CLI, Antigravity SDK, Managed Agents in the Gemini API, and enterprise support with the Gemini Enterprise Agent Platform. So, basically Google is moving its developer tools away from IDE-centric help and towards multi-agent workflow management as the primary endpoint.
What is Antigravity 2.0
Google Antigravity is a first-agent development platform for taking an idea and turning it into a production-ready app. Version 2.0 is a new standalone desktop application, separate from the existing Antigravity IDE, fully designed for an agent-oriented environment. It serves as the basis for agent interaction, allowing developers to schedule multiple agents and execute tasks in parallel. The app also includes dynamic subagents for parallel workflows, scheduled tasks for background automation, and ecosystem integration across Google AI Studio, Android, and Firebase.
The power of scheduled tasks is very important: instead of commanding the agent manually each time, developers can define tasks that automatically call agents in the background – turning the agent from a one-turn tool into something closer to a continuous automated pipeline. Google also added native voice command support to Antigravity, matching similar additions to consumer products like Gmail and Docs.
The New Ecosystem: CLI, SDK, Enterprise, and Managed Agents
Beyond the desktop app, Google is releasing four additional areas that come together to form an integrated developer harness.
I Antigravity CLI focused on developers who prefer endpoint-based workflows. It delivers a lightweight, high-speed environment for creating new agents without a user interface. Importantly, it shares the same agent harness as Antigravity 2.0, meaning that all future upgrades to the main agents are automatically applied to both environments. Antigravity CLI fully replaces Gemini CLI. For migrating developers, the Antigravity CLI retains the most important features of the Gemini CLI: Agent Capabilities, Hooks, Subagents, and Extensions – the latter of which have now been renamed as Antigravity plugins.
I Antigravity SDK provides programmed access to the same agent harness that powers Google products. Optimized for Gemini models, it allows developers to define custom agent behavior and host it on the infrastructure of their choice – perfect for engineering teams looking to embed Antigravity-style agents within their products or internal tools.
Antigravity on the Gemini Enterprise Agent Platform addresses organizational use cases by simplifying business operations and allowing Google Cloud customers to connect Antigravity directly to Google Cloud projects. This is a business-oriented deployment method for teams that need to deploy agents within their existing cloud infrastructure.
I Managed Agents include the Gemini API provides infrastructure-level classification for agent use. With a single API call, developers can investigate the agent's reasoning, implement tools, and execute code in a Linux environment. Managed Agents are powered by the Antigravity agent harness, built on Gemini 3.5 Flash, and available through the Interactions API and Google AI Studio. Three capabilities define this feature: first, the agent binds itself – the same technology and infrastructure that powers Google agents, developed in collaboration with Gemini 3.5 Flash. Second, persistent independent environments – each interaction creates an environment that can be restarted in tracking calls with all files and a consistent state, enabling multiple iterations without refreshing the context. Third, custom agent definitions — developers can extend the Antigravity agent with custom commands and capabilities using markup files, with new custom agent templates available in the Google AI Studio Playground to get started quickly.
Gemini 3.5 Flash as the default model
Underpinning the entire ecosystem is Gemini 3.5 Flash, which Google is setting as the default model for all Antigravity. According to the Google team, 3.5 Flash surpasses Gemini 3.1 Pro in almost all benchmarks while working four times faster than other borderline models. The speed advantage is especially important when multiple agents are working in parallel, as the delay model converges on all agent calls at the same time.
AI Studio: Mobile, Desktop, Android, and Google Play
Google is expanding a lot where developers can start and continue their work. New Google AI Studio mobile app is available for pre-registration this week, allowing developers to capture ideas on the go and have a working prototype ready when they return to their desktop. With new usage Export to Antigravity integration, all projects can be moved from AI Studio to local Antigravity development with one click, including the entire project context.
New Workplace integration means agents can now natively call Google Workspace APIs and embed them directly into applications — useful for any workflow that needs to interact with Google Docs, Sheets, Calendar, or other Workspace resources programmatically.
Native Android support has been added, allowing developers to create Android applications in no time. Google also introduced support for Google Play Console directly into Google AI Studio, allowing developers to publish applications on the test track without leaving the Studio environment.
Google is launching a new $100/month AI Ultra plan that offers 5x higher usage limits in Antigravity compared to the existing Google AI Pro plan.
Key Takeaways
- Google Antigravity 2.0 is a stand-alone agent-first desktop application – no IDE, parallel agents, scheduled tasks, and minimal workflows running in the background.
- Managed Agents in the Gemini API span a full distributed Linux environment with a single API call, with persistent state across multi-threaded sessions.
- The Antigravity SDK + Enterprise Agent Platform gives teams a way to deploy Gemini-optimized custom agents in their own infrastructure or directly within Google Cloud projects.
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Michal Sutter is a data science expert with a Master of Science in Data Science from the University of Padova. With a strong foundation in statistical analysis, machine learning, and data engineering, Michal excels at turning complex data sets into actionable insights.



