Antigravity
Overview
Antigravity is a fully‑featured AI IDE with an Agent Manager that adds a mission‑control surface for background agents to tackle backlog tasks, perform codebase research, and reduce context switching. Cross‑surface agents operate across the editor, terminal, and browser with browser‑in‑the‑loop iteration and visual feedback, producing verifiable Artifacts (recordings, diffs, screenshots, and validation logs) to build user trust and accelerate frontend and full‑stack development.
Use Cases
Professional
At its core, Antigravity is still a fully‑featured AI IDE, but the Agent Manager provides a new mission control surface for background agents to tackle backlog tasks, perform codebase research, and reduce context switching.
Frontend
Antigravity's Agents can use browser‑in‑the‑loop iteration and visual feedback to speed up the mind‑numbing parts of frontend development, helping you build beautiful, performant, and responsive frontends with ease.
Fullstack
Antigravity's Agents place an emphasis on verification, communicating to users via Artifacts and tasks to tackle more complex challenges and build user trust in their code.
Pricing
Individual Plans
Includes:
- Agent models: Gemini 3 Pro, Claude Sonnet & Opus 4.5, gpt-oss-120b
- Unlimited Tab completions
- Unlimited Command requests
- Generous weekly rate limits*
Business Plans
Includes:
- Everything in Individual
- More generous rate limits, refreshed every 5 hours*
Core Features
Standard Features
Advanced Features
Multi-Agent Collaboration
Specialized agents work in parallel across projects and repos.
Manager View
High-level orchestration of agents and multi-workspace efforts.
Sandboxed Environment
Safe local tool integration for editor, terminal, and browser.
Artifact Transparency
Recordings, diffs, screenshots, plans, reasoning summaries, and validation logs.
Autonomous Planning
Agents analyze requirements and create implementation plans automatically.
Direct System Access
Agents execute end-to-end tasks with direct editor, terminal, and browser control.
Self-Validation
Agents test and validate work in Chrome before presenting results.
Browser Automation
Automated UI verification with evidence capture and error checks.
Continuous Learning
Agents learn from feedback to align with project patterns over time.
Massive Context Window
Up to 1M tokens for deep monorepo understanding and long tasks.
AI Models Support
Built-in Models
Anthropic
Other
System Requirements
Supported Platforms
Windows, macOS, Linux
API Support
Agent-first engine with direct editor, terminal, and browser access; artifact system
Compatibility
VS Code fork; extension ecosystem compatible; sandboxed local tool integration
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