Google Antigravity is an agent-first development platform for working with autonomous AI agents across software projects, terminal workflows, browser tasks, and technical research.
The current version centers on Google Antigravity 2.0, a standalone desktop application, and Antigravity CLI, a terminal interface that runs the same agent harness from the command line.
Google updated Antigravity at I/O 2026 with multi-agent teams, scheduled tasks, native voice input, stronger Google product integration, and a new CLI experience.
The shift matters because Antigravity is no longer just an AI code editor with an agent manager. It is now a dedicated workspace for launching, monitoring, and steering agents that can work synchronously or in the background.
Antigravity is available for developers at no charge, with enterprise access also available through Google Cloud. It runs on macOS, Windows, and Linux, and it now places Gemini 3.5 Flash at the center of many agent workflows.
Developers who used Gemini CLI should also note the migration timeline: Antigravity CLI is now available, and free or individual Gemini CLI access through Google AI Pro, Ultra, or Gemini Code Assist for individuals is scheduled to stop serving requests on June 18, 2026.
Features
Standalone Antigravity 2.0 desktop app: Antigravity 2.0 is a separate desktop application built around agents rather than a traditional IDE. Developers can start conversations, review artifacts, manage projects, and coordinate agents from one central interface.
Multi-agent orchestration: Antigravity can launch multiple agents and subagents for different parts of a complex task. This design helps with larger projects such as refactors, research jobs, test generation, migration work, and multi-step application builds.
Antigravity CLI: The CLI brings the same Antigravity agent harness to the terminal. It is designed for developers who prefer command line workflows, custom keybindings, terminal themes, and lightweight interaction without opening the full desktop interface.
Shared agent harness: Antigravity 2.0 and Antigravity CLI use the same underlying agent system. Conversations started in the CLI can be imported into the desktop app, and core agent improvements can apply across both surfaces.
Gemini 3.5 Flash support: Gemini 3.5 Flash is a highlighted model for agent and coding tasks in Antigravity. The model is designed to balance speed, cost, and long-horizon task performance, which makes it useful for iterative coding sessions and background agent work.
Scheduled tasks: Antigravity can run recurring agent tasks on a defined schedule. This fits routine checks, background research, maintenance work, and other jobs that benefit from asynchronous execution.
Artifacts and feedback: Agents produce artifacts such as plans, walkthroughs, screenshots, browser recordings, and implementation notes. You can review these outputs and give feedback directly on the work instead of relying only on a chat transcript.
Projects, permissions, and bounded access: Antigravity 2.0 organizes work into Projects that can span multiple folders and carry custom settings. By default, agents request permission before running terminal commands and only read or write inside the folders you provide unless you change the security preset.
Skills, hooks, MCP servers, and plugins: Antigravity supports global and workspace-specific customization through Skills, MCP servers, JSON hooks, and plugins. Gemini CLI Extensions now map to Antigravity plugins, which can package skills, agents, rules, MCP configuration, and hooks together.
Voice input: Antigravity 2.0 includes live voice transcription powered by Gemini audio models. Developers can speak prompts and turn conversational instructions into clearer agent requests.
Use Cases
Full stack application development: Antigravity agents can plan features, write frontend and backend code, run commands, inspect files, use a browser, and produce verification artifacts. This makes it useful for building complete applications or adding substantial features to existing projects.
Terminal-first AI coding: Antigravity CLI gives developers a way to invoke and monitor the same agents without leaving the terminal. It is a natural fit for engineers who already use shell workflows, custom editors, and command line project management.
Gemini CLI migration: Developers who used Gemini CLI can move core workflows to Antigravity CLI. The new CLI keeps important Gemini CLI capabilities such as Agent Skills, Hooks, Subagents, and Extensions, although Antigravity plugins now handle extension-style customization.
Complex bug investigation: Agents can inspect code, search across a repository, run tests, analyze logs, and propose fixes. The artifact system helps developers review what the agent checked and why it chose a particular fix.
Background maintenance and scheduled checks: Scheduled Tasks can run recurring work while you are away from the keyboard. This can cover dependency checks, test runs, documentation refreshes, issue triage, or repeated research prompts.
Research and documentation: Antigravity agents can browse documentation, inspect codebases, summarize architecture, and prepare implementation notes. This is useful when a team needs grounded technical context before making a change.
Iterative UI development: Browser-capable agents can make interface changes, capture screenshots, test interactions, and respond to visual feedback. This workflow works best when the project has clear acceptance criteria and repeatable checks.
Pros
- Available at no charge for developers: Antigravity remains accessible for individual developers, which makes it easy to test before adopting it for daily work.
- Two working surfaces: Developers can use the full Antigravity 2.0 desktop app for visual agent management or Antigravity CLI for terminal-based work.
- Strong fit for asynchronous work: Multi-agent orchestration and Scheduled Tasks make Antigravity useful for work that does not require constant human input.
- Transparent review flow: Artifacts give developers a clearer way to inspect plans, screenshots, walkthroughs, and implementation details before accepting work.
- Flexible customization: Skills, hooks, MCP servers, plugins, project settings, and permissions let teams adapt agents to local workflows and policies.
- Gemini 3.5 Flash is built for agent speed: The model choice should help Antigravity feel more responsive during iterative coding and long agent runs.
Cons
- Major workflow change: Antigravity 2.0 moves away from the classic AI IDE pattern. Developers who prefer editor-centered assistance may need time to adapt.
- No immediate one-to-one Gemini CLI parity: Antigravity CLI keeps critical Gemini CLI capabilities, but it does not start with complete feature parity.
- Migration deadline for many Gemini CLI users: Free and individual Gemini CLI users should move before June 18, 2026, when affected access is scheduled to stop serving requests.
- Agent output still needs review: Multi-agent systems can produce large amounts of code, plans, and artifacts. Developers still need tests, code review, and permission controls.
- Quotas and paid access can matter for heavy work: Advanced agent-team experiments and large tasks can consume substantial model usage, especially when many subagents run in parallel.
Related Resources
- Google Antigravity: Official download page and product hub for Antigravity 2.0, Antigravity CLI, documentation, and release updates.
- Antigravity 2.0 documentation: Official docs for using the standalone desktop app and managing agents.
- Gemini CLI to Antigravity CLI transition: Google’s migration notice for Gemini CLI users, including the June 18, 2026 consumer timeline.
- 7 Best CLI AI Coding Agents: Compare Antigravity with other terminal AI coding agents.
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FAQs
Q: Is Google Antigravity still an IDE?
A: Antigravity now has more than one surface. The newer Antigravity 2.0 experience is a standalone desktop application for managing agents, projects, artifacts, and asynchronous work. Google also provides Antigravity CLI for terminal workflows. Older IDE-style documentation may still matter for users of the original Antigravity IDE, but the current product direction centers on the standalone app and CLI.
Q: Does Google Antigravity work offline or require an internet connection?
A: Antigravity requires internet access for its AI-powered agent features because the models and Google account services run remotely. Local project files remain on your machine, but agent reasoning, model calls, sign-in, and many connected capabilities need an active connection.
Q: Can I use Antigravity with existing projects and repositories?
A: Yes. Antigravity 2.0 organizes work into Projects that can include one or more folders. Agents can read and write inside the folders you give them, subject to your permission settings. Existing Git repositories, project files, tests, and development commands remain part of the workflow.
Q: What is Antigravity CLI?
A: Antigravity CLI is a terminal interface for invoking, monitoring, and interacting with Antigravity agents. It shares the same agent harness with Antigravity 2.0 and is designed for developers who prefer command line work over a desktop GUI.
Q: What happens to Gemini CLI?
A: Google is transitioning many Gemini CLI workflows to Antigravity CLI. Antigravity CLI is available now. On June 18, 2026, Gemini CLI and Gemini Code Assist IDE extensions are scheduled to stop serving requests for Google AI Pro and Ultra users, as well as free individual users through Gemini Code Assist for individuals. Enterprise customers using Gemini Code Assist Standard or Enterprise, Gemini Code Assist for GitHub through Google Cloud, or paid Gemini and Gemini Enterprise Agent Platform API keys are not affected in the same way.
Q: Which model powers Antigravity?
A: Antigravity supports Gemini models and other offered model options, but Google’s 2026 update highlights Gemini 3.5 Flash for agent and coding workflows. The model is tuned for faster agent loops and longer work sessions compared with larger, slower models.
Q: How does Antigravity compare to Cursor or other AI coding assistants?
A: Cursor and many AI coding assistants focus on adding intelligence inside a familiar editor. Antigravity focuses more on delegating work to agents that can plan, execute, verify, and produce artifacts across projects. This makes Antigravity more suitable for multi-step tasks and asynchronous work, while editor-first tools may feel tighter for direct code editing and small changes.
