Melty Overview
Melty is a standalone tool designed to provide developers with a seamless experience across multiple operating systems including Windows, macOS, and Linux. Developed by Charlie Holtz and Jackson de Campos, Melty supports a range of large language models such as GPT-5, Claude 4.5, and Gemini 3.0, offering a comprehensive 200,000 token context window for advanced processing capabilities. With features like agentic editing, predictive edits, and full terminal access, Melty ensures a robust development environment. The privacy policy adheres to standard practices and offers a free tier alongside a professional plan. However, users should note that setup is required for migration.
Pros
- ✓ Supports multiple operating systems.
- ✓ Compatible with advanced LLMs like GPT-5.
- ✓ Provides full terminal access.
- ✓ Includes predictive editing features.
- ✓ Offers a free tier.
Cons
- ✕ Requires setup for migration.
- ✕ Standard privacy policy may not suit all users.
PearAI Overview
PearAI is a versatile standalone tool that operates on Windows, macOS, and Linux, developed by the PearAI team. It supports a wide array of large language models including GPT-4 and its own PearAI Model, with a 200,000 token context window. PearAI is built for efficiency with features like multi-file agentic editing, local inference, and full terminal access. A standout feature is its Zero Data Retention (ZDR) privacy mode, ensuring no data is stored. The pricing model ranges from free to $200 per month, with seamless migration capabilities, making it a flexible choice for various users.
Pros
- ✓ Seamless migration process.
- ✓ Zero Data Retention (ZDR) privacy mode.
- ✓ Supports custom PearAI Model.
- ✓ Offers a comprehensive free tier.
- ✓ Compatible with a wide range of LLMs.
Cons
- ✕ Higher pricing tier may be expensive for some users.
- ✕ Limited information on enterprise-specific features.
Comparison Table
| Feature | Melty | PearAI |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | Windows, macOS, Linux | Windows, macOS, Linux |
| Developer | Charlie Holtz, Jackson de Campos | PearAI |
| Supported Llms | GPT-5, Claude 4.5, Gemini 3.0, o3 | GPT-4, GPT-4o, Claude 3 Opus, Llama 3.1 405b, PearAI Model |
| Custom Model | – | PearAI Model |
| Context Window | 200k tokens | 200k tokens |
| 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 – $200/mo |
| Config File | .meltyrc | .pearrc |
| Migration | Requires setup | Seamless |
Conclusion
Both Melty and PearAI provide robust solutions for developers with their support for multiple operating systems and advanced language models. While Melty offers a straightforward setup and a free tier, PearAI distinguishes itself with its Zero Data Retention privacy mode and seamless migration capabilities. Users should consider their specific needs, especially regarding privacy and integration, when choosing between these two powerful tools.