Google Antigravity vs Cursor

Antigravity is built from the ground up as an agent-first platform where agents autonomously plan, execute, and validate entire features with access to editor, terminal, and browser. The Manager Surface enables spawning and coordinating multiple specialized agents working asynchronously across different workspaces—one handling refactoring, another optimizing performance, a third ensuring security compliance. Agents generate human-readable artifacts (task lists, implementation plans, screenshots, browser recordings) that provide transparency and auditability, allowing developers to review exactly what was done and provide feedback through comments on artifacts.

Antigravity supports three major model families: Google's Gemini 3 Pro (with generous rate limits), Anthropic's Claude Sonnet 4.5, and GPT-OSS variants, ensuring users aren't locked into a single model ecosystem. Gemini 3 Deep Think and Gemini 3 Flash are also available. The platform is cross-platform compatible (Windows, macOS, Linux) and provides model optionality, though it's primarily optimized for Google's Gemini 3 with 1 million+ token native context. Deeper Gemini 3.5 integration arriving Q1 2026 will push context to 2 million tokens and add video understanding for UI/UX feedback.

Gemini 3 handles over 1 million tokens natively (expanding to 2 million with Gemini 3.5 in Q1 2026), allowing Antigravity to understand entire monorepos without truncation or context window limitations. In benchmark tests, Antigravity resolves codebase navigation queries 40% faster than competitors across 100k+ line repositories. The Knowledge Base Learning feature allows agents to save useful context, code snippets, and workflows from completed tasks for reuse in future work, building institutional knowledge. This comprehensive context understanding enables agents to make architectural decisions with full system awareness.

Antigravity includes browser subagents as a core feature—agents can launch Chrome, interact with application UI, inspect DOM elements, test user flows, check for errors, and validate that features work as expected, all automatically. Agents generate browser recordings and screenshots as artifacts for review. This multi-surface agent access (editor, terminal, browser) in a single workflow is unique and enables true end-to-end feature validation. Native mobile preview with Android emulators is planned for 2026, further expanding testing capabilities.

Antigravity is currently optimized for individual developers or small teams during its public preview phase. Google plans to introduce live AI-mediated collaborative editing in mid-2026, which will enable real-time team collaboration with AI assistance. Currently, the platform lacks mature team features like centralized billing, admin dashboards, or license management. The artifact-based review system (where team members can comment on generated plans, screenshots, etc.) provides some collaboration capability, but enterprise team features are still in development with no official release timeline beyond the mid-2026 collaborative editing announcement.

Antigravity offers Review & Autonomy Policy Settings allowing users to configure agents' level of autonomy—choosing whether agents automatically execute commands or if users must approve generated artifacts to balance speed and control. WebGPU-accelerated local inference for privacy-sensitive environments is planned for mid-2026, which will enable on-device processing without cloud transmission. However, current public preview lacks detailed privacy documentation, SOC 2 certification details, or comprehensive data residency options. Enterprise security features and audit logs are mentioned but not yet implemented in the preview version.

Cursor introduced Background Agents in its 0.50 release that can execute tasks independently while developers focus on other work, and supports up to 8 parallel agents in isolated workspaces using git worktrees or remote environments. The Composer tool enables multi-file refactoring across codebases. However, Cursor's philosophy leans more toward augmenting manual coding rather than full autonomous task delegation—it provides AI assistance for specific actions rather than treating AI as independent collaborators managing entire features end-to-end like Antigravity does.

Cursor grants access to the broadest range of cutting-edge AI models including GPT-5, Claude 4.5 Sonnet, Gemini 2.5 Pro, and Grok Code, providing multi-model flexibility for different use cases. Cursor also invested significantly in proprietary models optimized specifically for coding tasks that understand its unique agent architecture and user patterns—the Composer model is built for speed and coding-specific optimizations. The auto model selection feature intelligently chooses the best model for each task, and 2026 plans include expanding proprietary models for even better performance.

Cursor provides strong codebase understanding through its multi-model approach and project Memories feature that builds organization-wide knowledge bases persisting across projects and team members. The platform understands project structure and can navigate large codebases effectively, though it typically works with smaller context windows than Antigravity's million-token capability. Cursor's Composer model is optimized for understanding coding patterns and architecture, and the platform's ability to understand system architecture and business logic continues improving through 2026 updates.

Cursor agents can interact with a browser embedded in the IDE, inspect DOM elements, and test UI flows. The visual web editor built into a browser sidebar (released December 2025) enables developers to design interfaces visually. However, browser integration is less central to Cursor's workflow compared to Antigravity—it's available as a feature but not as deeply integrated into the agent workflow. Cursor focuses more on code editing and generation with browser testing as a secondary capability.

Cursor excels in team collaboration with real-time collaborative coding sessions, established Business plan ($40/user/month) featuring centralized billing, admin dashboards, license management, and organizational privacy controls. The platform supports pair programming through its collaboration features, making it ideal for distributed teams. Team-oriented features include org-wide privacy controls, policy tools, IP indemnity, and higher quotas for business users. Slack and web app launches demonstrate Cursor's ambition to be accessible everywhere developers work, with strong enterprise account management and priority support for larger deployments.

Cursor offers robust Privacy Mode that ensures code is never stored remotely without explicit consent—when enabled, code is not shared with Cursor's AI models or external parties, helping comply with privacy laws requiring minimized data retention. Cursor is SOC 2 Type II certified, adhering to stringent data security standards, and commits to annual penetration testing by reputable third parties. Business and Enterprise plans include organizational privacy controls, data handling policies, IP indemnity, and comprehensive security reviews. These mature security features make Cursor suitable for regulated industries and enterprises with strict compliance requirements.