Google Antigravity
The agent-first AI IDE from Google
Founded
2025
Starting Price
Free
Category
AI Coding Assistants
Last updated February 7, 2026
About Google Antigravity
Google Antigravity is an agentic development platform that goes beyond traditional AI code assistants. Built on a modified VS Code fork, it features a 'Mission Control' interface for managing multiple autonomous AI agents that can plan, code, test, and even browse the web simultaneously. Powered by Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS models, Antigravity represents Google's vision for AI-first software development.
Pros & Cons
Pros
- Truly agent-first architecture—AI agents act as independent workers, not just assistants
- Multi-agent execution enables parallel task completion across different areas
- Built-in browser testing with automated video recording of test sessions
- Artifacts provide transparency into agent reasoning and actions
- Free during public preview with generous Gemini 3 and Claude access
Key Features
Mission Control
Dedicated interface for spawning, orchestrating, and observing multiple AI agents working asynchronously across workspaces.
Multi-Agent Execution
Dispatch multiple agents to work on different tasks simultaneously, multiplying developer throughput.
Artifacts System
Agents generate verifiable deliverables like task lists, implementation plans, screenshots, and browser recordings for transparency.
Autonomous Browser Testing
Built-in browser extension for automated testing—agents can launch apps, perform actions, and produce video test reports.
Multi-Model Support
Supports Gemini 3 Pro, Gemini 3 Deep Think, Claude Sonnet 4.5, Claude Opus 4.5, and GPT-OSS models.
Knowledge Retention
Agents retain snippets and lessons learned across sessions, recalling context from previous work.
Full Development Cycle
Agents autonomously navigate editor, terminal, and browser to plan, code, launch, and verify applications.
Pricing
Most Popular
Public Preview
Free/during preview
- Personal Gmail accounts
- Generous Gemini 3 Pro limits
- Claude Sonnet 4.5 access
Best For
Rapid Prototyping
Go from idea to working MVP quickly with agents handling boilerplate, dependencies, and initial testing.
Parallel Bug Fixing
Dispatch multiple agents to fix different bugs simultaneously, multiplying developer productivity.
Automated Testing
Let agents write code, launch applications, and automatically test with browser recordings for verification.
Learning & Experimentation
Explore new frameworks and technologies with AI agents guiding implementation and setup.
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