Google Antigravity
Google Antigravity is Google's agent-first development platform. It bundles Antigravity 2.0 for orchestrating parallel agents, a lightweight terminal CLI, a standalone IDE, extensions for popular editors and a Python SDK. Agents run inside Projects, report through Artifacts and can be scheduled. Individuals get a free tier with unlimited Tab completions; higher quotas need Google AI Pro or Ultra.
What is Google Antigravity?
Google Antigravity is Google's agentic development platform, described on its homepage as a way for anyone to build in the agent-first era. Rather than treating AI as a chat sidebar, Antigravity treats agents as the primary worker: developers define goals, agents plan and execute them, and results come back as reviewable Artifacts.
The platform spans several surfaces. Antigravity 2.0 is the desktop command center for managing multiple local agents in parallel; conversations can be grouped into Projects that span multiple folders and support custom settings and scoped permissions. Antigravity CLI is a lightweight, terminal-first surface for invoking and monitoring agents, executing shell commands directly, opening a /agents panel to watch concurrent sessions and configuring permissions, themes and keybindings through slash commands. Antigravity IDE is a standalone desktop application with native windowing, integrated agent panels and a full execution workspace, and official extensions bring agentic coding to VS Code, Visual Studio, JetBrains IDEs, Zed and Xcode.
Capability highlights include Dynamic Subagents that are instantiated dynamically to tackle parallel parts of complex problems, Scheduled Tasks that start and run agents on a cron schedule in the background, Artifacts that communicate an agent's progress, Skills plus MCP servers and JSON hooks for customisation, Projects for shared context, live voice transcription powered by the latest Gemini audio models, unlimited Tab completions, and per-Project settings and security policies that the agent respects.
Models come from the Gemini Enterprise Agent Platform. The free individual plan lists Gemini 3.8 Flash, Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.1 Pro, Claude Sonnet and Opus 4.6 and gpt-oss-120b as agent models, while Google states that Google AI Ultra users additionally receive access to third-party models.
Remote Control, launched from the site header, extends sessions beyond the desktop into the browser, and the documentation covers getting started, a dense CLI reference, best practices around verification loops and session checkpoints, and troubleshooting. Google also publishes a changelog, releases page, blog, support channel and press guidelines. An official Python SDK, currently version 0.1.x, lets teams construct and orchestrate custom autonomous agents on Antigravity's harness, co-optimised with the Gemini family of models.
Google Antigravity Core Features
Parallel Agent Orchestration
Antigravity 2.0 is a command center for launching, monitoring and orchestrating multiple local agents working in parallel across independent projects.
Dynamic Subagents
Subagents are defined and instantiated dynamically to tackle parallel parts of complex problems, leading to faster and better results.
Scheduled Tasks
Define a cron schedule and agents start and run autonomously in the background to automate routine checks.
Artifacts
Deliverables from the agent that communicate its progress, plans and results so you can review the work with confidence.
Projects with Scoped Permissions
Group conversations into Projects that span multiple folders and repositories, each carrying isolated settings and security policies.
Skills, MCP and JSON Hooks
Define global or workspace-specific Skills, MCP servers and JSON hooks, or download customisable skills to extend agent autonomy.
Terminal-First CLI
A snappy, lightweight interface for running autonomous coding agents, executing shell commands and managing background subagents from your keyboard.
IDE Extensions and Python SDK
Official agents for VS Code, Visual Studio, JetBrains, Zed and Xcode plus a Python SDK for building custom agents on the Antigravity harness.
Who is Google Antigravity for?
Google Antigravity is built for people who want agents to do real software work rather than assist with autocomplete. The site positions it for professional developers working in large enterprise codebases, hobbyists vibe-coding in their spare time, and anyone in between. Full-stack developers use it to build production-ready applications with designed artifacts and verification tests. Frontend developers lean on browser-in-the-loop agents to automate repetitive UX work and iterate on visual feedback. Enterprise developers connect Antigravity to Google Cloud so that prompts, responses, code and telemetry stay inside their own private environments under Google Cloud terms, VPC Service Controls and regional data residency rules. Researchers and scientists are served by agents that know the tools, models and databases of their field, from frontier models such as AlphaGenome to more than twenty major scientific databases including AlphaFold Database, UniProt, PubChem and ChEMBL. Marketers and other non-engineering roles can build custom skills, run workflows in parallel and steer agents with real-time, iterative feedback. Teams that live in a terminal get the Antigravity CLI; teams that prefer a graphical surface get Antigravity 2.0, the standalone Antigravity IDE, or extensions for VS Code, Visual Studio, JetBrains, Zed and Xcode. Organisations should note that Antigravity in Gemini Enterprise is aimed at Google Cloud customers with centralised administrative controls, consumption-based Agent Platform API billing and Gemini Enterprise subscriptions, and that some of that availability is still rolling out to select customers. It is less suited to someone who wants a simple hosted chatbot, or to teams needing contractual organisational tiers. The documentation states there is currently no support for bring-your-own-key or bring-your-own-endpoint, nor for organisational tiers via contract. The free individual plan is a genuine starting point, but heavy daily use depends on a Google AI Pro or Google AI Ultra subscription for higher quotas and AI credits.
Google Antigravity Use Cases
Orchestrate several local coding agents in parallel across independent projects from one command center
Automate repetitive frontend work with browser-in-the-loop agents that iterate on visual feedback
Build production-ready full-stack applications backed by designed artifacts and verification tests
Run autonomous coding agents and shell commands directly from the terminal with the CLI
Schedule recurring background checks and maintenance jobs with cron-style scheduled tasks
Research scientific questions with agents fluent in AlphaFold Database, UniProt, PubChem and ChEMBL
Delegate backlog tasks and codebase research inside an enterprise to reduce context switching
Prototype custom agentic applications in Python on top of the Antigravity harness with the SDK
Google Antigravity Pros and Cons
Pros
- Free individual plan at $0/month with access to strong agent models including Gemini 3.x, Claude Sonnet and Opus 4.6 and gpt-oss-120b, plus unlimited Tab completions and command requests.
- Unusually broad surface coverage: desktop command center, terminal CLI, standalone IDE, extensions for five editor families and an official Python SDK.
- Enterprise path runs under Google Cloud terms with workspace sandboxing, security guardrails, VPC Service Controls and data residency, and corporate data is never used for training.
- Agents operate inside Projects with scoped permissions and report progress through Artifacts, which supports verification and user trust.
- All plans include access to all product features, such as Scheduled Tasks and the CLI, so the free tier is not feature-limited.
Cons
- The pricing page publishes no dollar figures for Google AI Pro or Google AI Ultra, so higher quotas depend on separate Google AI subscriptions that Antigravity does not price.
- Documentation states there is currently no support for bring-your-own-key or bring-your-own-endpoint for extra rate limits, and no organisational tiers via contract.
- Intel Macs are no longer listed as supported for the latest builds, and enterprise support for JetBrains, Zed and Xcode extensions is still in preview.
FAQ About Google Antigravity
Google Antigravity Pricing
Antigravity is free for individuals with basic weekly rate limits; more generous quotas and a flexible AI credit pool come with Google AI Pro or Google AI Ultra subscriptions, and organizations use Google Cloud billing through Gemini Enterprise.
Check official pricingFor Individuals
Experience Antigravity without a subscription plan. Includes agent model access to Gemini 3.8 Flash, Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.1 Pro, Claude Sonnet and Opus 4.6 and gpt-oss-120b, unlimited Tab completions, unlimited command requests and basic weekly rate limits.
Google AI Pro
Everything in the free plan plus more generous rate limits and a flexible AI credit pool, with a high quota refreshed every five hours until the weekly limit is reached.
Google AI Ultra
Everything in Pro plus the highest, most generous quota refreshed every five hours, the highest weekly rate limits and access to third-party models.
Organization plan
Via Google Cloud: access under Google Cloud Terms of Service, Google Cloud project integration, consumption-based API pricing with the Gemini Enterprise Agent Platform and inclusion in select Gemini Enterprise app subscriptions, rolling out to select customers.
Google Antigravity Alternatives
T3 Code
T3 Code is an open-source control plane for coding agents. It runs Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok from one desktop app, keeps every agent thread on its own Git branch, and commits, pushes and opens a pull request with one button. iOS and Android apps steer the same work remotely. The app is free and MIT licensed; you bring your own agent subscriptions.
Verdent
Verdent is an agentic coding suite that turns plain-language product goals into working software. Its desktop app, browser-based Verdent Cloud, and VS Code and JetBrains extensions coordinate parallel AI agents that plan, build, test, and review work. Powered by Claude, GPT, Gemini, Kimi and GLM models, Verdent keeps full project context, remembers your preferences, and offers free, credits, Eco Mode and BYOK usage.
Zread
Zread is an AI-powered GitHub repository reading assistant. Give it a public repository and it produces structured docs — what the project solves, how it works, core design principles, and a file tree — with sources cited. A searchable Discover feed surfaces trending repos, and private repositories, a library, an MCP server, and a CLI extend the workflow.