Melty Overview
Melty is a versatile standalone tool developed by Charlie Holtz and Jackson de Campos, designed to support a wide range of operating systems, including Windows, macOS, and Linux. It is compatible with advanced language models such as GPT-5, Claude 4.5, Gemini 3.0, and o3, providing a substantial context window of 200k tokens. One of its key features is local inference, which allows users to run models on their local machines, enhancing privacy and speed. Melty offers agentic editing with multi-file support, full terminal access, and predictive edits to streamline your workflow. The tool is available in a free tier with an upgrade option to a Pro version.
Pros
- ✓ Supports multiple operating systems
- ✓ Local inference for enhanced privacy
- ✓ Multi-file agentic editing
- ✓ Full terminal access
- ✓ Predictive edits for efficient workflow
Cons
- ✕ Requires setup for migration
- ✕ Limited to supported language models
Trae Overview
Trae is a standalone tool developed by ByteDance, compatible with Windows, macOS, and Linux. It supports advanced language models such as Claude 3.5 Sonnet and GPT-4o, offering a context window of 200k tokens. Unlike Melty, Trae does not support local inference, which may affect privacy considerations. However, it features seamless migration, making it easier for users to transition between systems. Trae provides agentic editing with multi-file support, full terminal access, and predictive edits, catering to efficient project management. Available in both free and Pro tiers, Trae is a flexible tool for diverse user needs.
Pros
- ✓ Supports multiple operating systems
- ✓ Seamless migration
- ✓ Multi-file agentic editing
- ✓ Full terminal access
- ✓ Predictive edits for efficient workflow
Cons
- ✕ No local inference
- ✕ Limited to supported language models
Comparison Table
| Feature | Melty | Trae |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | Windows, macOS, Linux | Windows, macOS, Linux |
| Developer | Charlie Holtz, Jackson de Campos | ByteDance |
| Supported Llms | GPT-5, Claude 4.5, Gemini 3.0, o3 | Claude 3.5 Sonnet, GPT-4o |
| Context Window | 200k tokens | 200k 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 | .meltyrc | .traerc |
| Migration | Requires setup | Seamless |
Conclusion
Both Melty and Trae offer robust features for users looking for standalone tools compatible with multiple operating systems and advanced language models. While Melty excels in local inference capabilities, Trae offers seamless migration, making it ideal for users who prioritize ease of transition. Ultimately, the choice between these tools will depend on the specific needs and privacy considerations of the user.