Introduction to Melty
Melty is a versatile standalone tool developed by Charlie Holtz and Jackson de Campos. It is compatible with Windows, macOS, and Linux, offering a wide range of functionalities for developers who require robust language model support. Melty supports advanced LLMs such as GPT-5, Claude 4.5, Gemini 3.0, and o3, providing a substantial context window of 200k tokens for extensive processing capabilities. The tool is designed for local inference, allowing users to perform multi-file agentic editing with full terminal access. Predictive edits enhance the user experience, while the standard privacy policy ensures data protection. The tool’s flexibility is further demonstrated by its free tier offering, although a setup is required for migration. The professional version is available under a Free/Pro pricing model, and it includes a configuration file (.meltyrc) for customization.
Pros
- ✓ Standalone architecture allowing local inference.
- ✓ Supports multiple state-of-the-art LLMs.
- ✓ Full terminal access and multi-file editing.
- ✓ Predictive edits enhance productivity.
- ✓ Free tier availability.
Cons
- ✕ Requires setup for migration.
- ✕ No custom model support.
- ✕ Limited to standard privacy policy.
Introduction to Replit
Replit is a cloud-based tool developed by Replit, Inc., designed to provide an integrated platform for coding and collaboration. Compatible with Windows, macOS, and Linux, it supports an array of language models including GPT-5.2, Claude, Gemini, and Hugging Face, offering a similar context window of 200k tokens as Melty. Unlike Melty, Replit does not support local inference, as it operates entirely in the cloud. The platform allows for multi-file agentic editing with full terminal access and includes predictive editing features. Replit adheres to a standard privacy policy and holds SOC2 Type II certification, ensuring enterprise-level security. Like Melty, it offers a free tier with a Free/Pro pricing structure, and configuration is managed via a .replit file. Migration also requires setup, making it a comprehensive choice for developers seeking a cloud-first approach.
Pros
- ✓ Cloud-based architecture for easy accessibility.
- ✓ Supports a broad range of language models.
- ✓ Full terminal access and multi-file editing.
- ✓ Predictive edits enhance coding efficiency.
- ✓ Free tier availability.
Cons
- ✕ No local inference capability.
- ✕ Requires setup for migration.
- ✕ Limited to standard privacy policy.
Comparison Table
| Feature | Melty | Replit |
|---|---|---|
| Architecture Type | standalone | cloud |
| Supported Os | Windows, macOS, Linux | Windows, macOS, Linux |
| Developer | Charlie Holtz, Jackson de Campos | Replit, Inc. |
| Supported Llms | GPT-5, Claude 4.5, Gemini 3.0, o3 | GPT-5.2, Claude, Gemini, Hugging Face |
| 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 | .replit |
| Migration | Requires setup | Requires setup |
Conclusion
Both Melty and Replit offer robust solutions for developers, with Melty focusing on local inference and Replit emphasizing cloud-based collaboration. Each tool provides substantial support for modern language models and includes features like multi-file editing and predictive edits. The choice between them will largely depend on the user’s preference for standalone versus cloud-based architectures.