Google Antigravity

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For developers building software with AI agents, Google Antigravity is an agentic development platform where agents autonomously plan, code, test, and verify work across the editor, terminal, and browser, producing reviewable artifacts like task plans and screenshots.

Presence & Market Position

19
SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

#23 of 26
Coding Agents & Harnesses for GTM

▼ 26 60-day move

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Google Antigravity positions itself as a central workspace for orchestrating multiple AI agents at once — coding, testing, and verifying across the editor, terminal, and browser, with task plans and screenshots produced as reviewable artifacts rather than a single chat transcript. It frames agent work as something to supervise and audit, not just prompt. Conversation clusters around multi-agent workflow walkthroughs, migration and setup guides for developers moving over from single-agent tools, and comparisons against other agentic IDEs on model choice and orchestration depth. Available at no cost in public preview across major desktop platforms, it reads as an actively evaluated option inside the broader shift toward agent-native development environments.

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Business Profile

Google Antigravity launched in November 2025 as an agentic development platform and expanded at I/O 2026 with a Go-built CLI, an SDK for building custom agents, a desktop app, and managed execution with enterprise support. It sits inside Google, the organization reporting over $400 billion in annual revenue and a public-market value near $4.3 trillion, giving the platform model infrastructure and distribution most independent agentic-IDE vendors have to build separately. Public rollout has emphasized model optionality — generous rate limits on Gemini 3 Pro alongside support for Anthropic's Claude Sonnet 4.5 and OpenAI's GPT-OSS — positioning it as a multi-model home for agent-native development rather than a single-model showcase.

Founded
1998
Employees
303,144
ARR
$402.8B Revenue, +15% y/y (FY 25)
Valuation
~$3.9T market cap
Status
Public
Parent
Google
Scale stage
Scaled
Type
Coding Agents & Experience Builders
GTM categories
GTM Developer Tools

Employees & founded inherited from Google (parent).

Key people
CEO of Alphabet and Google.
Chief Marketing Officer
VP of Consumer and AI Marketing, Google

Agent Readiness

99A
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Antigravity ships agent surfaces beyond its own interface: an API and SDK for building custom agents, plus a CLI carrying over Agent Skills, Hooks, Subagents, and Extensions from its predecessor. The build-out points toward developers assembling and running their own agents against the platform rather than only using the ones built in, with managed execution and enterprise support extending that toward production deployment.

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