Melty: A Comprehensive Standalone Tool for Multi-Platform Use
Melty is a versatile standalone tool designed to operate seamlessly across Windows, macOS, and Linux. Developed by Charlie Holtz and Jackson de Campos, it supports advanced language models like GPT-5, Claude 4.5, and Gemini 3.0, among others. With a context window of 200k tokens, Melty is equipped for extensive data processing, making it an ideal choice for users requiring robust local inference capabilities. It provides agentic editing with multi-file support and full terminal access, ensuring flexible and efficient workflow management. The tool is certified with SOC2 Type II standards, ensuring a reliable security framework for enterprise users. With a standard privacy policy in place, Melty offers both free and premium subscription options, allowing users to choose based on their specific needs and budget.
Pros
- ✓ Supports a wide range of modern LLMs.
- ✓ Offers full terminal access.
- ✓ Provides predictive edits and agentic editing.
- ✓ Enterprise-level security certification (SOC2 Type II).
- ✓ Available on multiple operating systems.
Cons
- ✕ Requires setup for migration.
- ✕ Standard privacy mode may not be suitable for all users.
Void: An Open-Source Solution with Unlimited Context Window
Void is an open-source, standalone tool compatible with Windows, macOS, and Linux. It supports an extensive list of language models, including Gemini 2.5, Claude 3.7, and GPT-4, offering users a wide selection of LLMs for diverse applications. One of Void’s standout features is its unlimited context window, facilitated by RAG, which allows for comprehensive data analysis and processing. The tool boasts zero data retention, ensuring maximum privacy and data security for users. With seamless migration capabilities and a free pricing model, Void is particularly appealing to users seeking a cost-effective yet powerful tool. It also includes full terminal access and predictive edits, enhancing user experience and efficiency.
Pros
- ✓ Open-source with zero data retention policy.
- ✓ Unlimited context window for extensive data processing.
- ✓ Compatible with a broad range of LLMs.
- ✓ Seamless migration process.
- ✓ Free to use.
Cons
- ✕ May require technical knowledge to fully leverage open-source features.
- ✕ Lacks a premium support option.
Comparison Table
| Feature | Melty | Void |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | Windows, macOS, Linux | Windows, macOS, Linux |
| Developer | Charlie Holtz, Jackson de Campos | Void (open-source) |
| Supported Llms | GPT-5, Claude 4.5, Gemini 3.0, o3 | Gemini 2.5, Claude 3.7, GPT-4, Grok 3, o4-mini, Qwen 3, DeepSeek, Llama, Gemma 3 |
| Context Window | 200k tokens | Unlimited (RAG) |
| Agentic Editing | Yes, multi-file | Yes, multi-file |
| Terminal Access | Full | Full |
| Privacy Mode | Standard Privacy Policy | Zero Data Retention (ZDR) |
| Certifications | SOC2 Type II (Enterprise) | SOC2 Type II (Enterprise) |
| About Price | Free/Pro | Free |
| Config File | .meltyrc | settings.json |
| Migration | Requires setup | Seamless |
Conclusion
Both Melty and Void offer robust solutions for users seeking standalone tools compatible with multiple operating systems. Melty excels in providing enterprise-grade security and a wide range of supported LLMs, while Void’s open-source nature and unlimited context window offer unparalleled flexibility and privacy. The choice between the two will largely depend on individual priorities regarding privacy, support, and cost.