Google Antigravity
Google Antigravity is a versatile, standalone tool developed by Google, supporting a wide range of operating systems including macOS, Windows, and Linux. It is designed for advanced machine learning applications and offers compatibility with multiple large language models (LLMs) such as Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS 120B, among others. With a substantial context window of 1 million tokens, it provides extensive capabilities for local inference and agentic editing across multiple files. Google Antigravity also supports full terminal access and predictive edits, enhancing its utility for complex projects. While it requires initial setup, the tool is available in both free and pro versions, adhering to a standard privacy policy and holding SOC2 Type II certification for enterprise environments.
Pros
- ✓ Supports multiple LLMs including Gemini 3 Pro and GPT-OSS 120B
- ✓ Large context window of 1 million tokens
- ✓ Full terminal access
- ✓ Predictive edits feature
- ✓ SOC2 Type II certified
Cons
- ✕ Requires setup for migration
- ✕ Privacy mode is limited to standard policy
JetBrains Fleet
JetBrains Fleet is a standalone development tool compatible with Windows, macOS, Linux, and Chromebook platforms. Developed by JetBrains, it is tailored for efficient project management and supports local inference with a context window of 128k tokens. Like Google Antigravity, it offers agentic editing capabilities across multiple files and provides full terminal access, making it a robust choice for developers. Fleet is also available in free and pro versions, ensuring accessibility to a wide range of users. The tool follows a standard privacy policy and is SOC2 Type II certified, ensuring that enterprise-level security standards are met. Migration requires setup, similar to its counterpart, which may be a consideration for potential users.
Pros
- ✓ Compatible with Chromebook in addition to other major OS
- ✓ Supports agentic editing across multiple files
- ✓ Full terminal access
- ✓ SOC2 Type II certified
Cons
- ✕ Limited context window of 128k tokens
- ✕ Requires setup for migration
- ✕ No support for specific LLMs
Comparison Table
| Feature | Google Antigravity | JetBrains Fleet |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | macOS, Windows, Linux | Windows, macOS, Linux, Chromebook |
| Developer | JetBrains | |
| Supported Llms | Gemini 3 Pro (High/Low), Claude Sonnet 4.5 (Thinking/Standard), GPT-OSS 120B, Ollama/Llama (local), Granite 4.0 | – |
| Context Window | 1M tokens | 128k tokens |
| Agentic Editing | Yes, multi-file | Yes, multi-file |
| Terminal Access | Full | Full |
| Privacy Mode | Standard Privacy Policy | Standard Privacy Policy |
| Certifications | SOC2 Type II (Enterprise) | SOC2 Type II (Enterprise) |
| About Price | Free/Pro | Free/Pro |
| Config File | .antigravityrc | .fleetrc |
| Migration | Requires setup | Requires setup |
Conclusion
Both Google Antigravity and JetBrains Fleet offer robust development environments with strong features like agentic editing and terminal access. Google Antigravity stands out with its support for multiple LLMs and a larger context window, whereas JetBrains Fleet offers broader OS compatibility, including Chromebook support. Each tool has its strengths and limitations, making the choice dependent on specific project needs and system preferences.