PearAI Overview
PearAI is a versatile standalone tool designed to cater to a range of operating systems including Windows, macOS, and Linux. Developed by PearAI, this tool supports a variety of leading language models such as GPT-4, GPT-4o, Claude 3 Opus, Llama 3.1 405b, and its proprietary PearAI Model. Notably, it offers a context window of 200k tokens, allowing for extensive data processing capabilities.
One of its standout features is the ability to perform local inference while ensuring zero data retention, aligning with privacy-conscious practices. Users can enjoy seamless agentic editing across multiple files, full terminal access, and predictive editing capabilities. With a SOC2 Type II certification, it guarantees robust security, making it suitable for enterprise-level applications. PearAI provides a free tier, with pricing extending up to $200 per month, and supports seamless migration through its .pearrc configuration file.
Pros
- ✓ Supports a wide range of leading language models.
- ✓ Offers a high context window limit of 200k tokens.
- ✓ Provides zero data retention for enhanced privacy.
- ✓ Seamless migration capabilities.
- ✓ Full terminal access for advanced users.
Cons
- ✕ Pricing can be as high as $200 per month.
- ✕ Limited to specific supported LLMs.
Void Overview
Void is an open-source standalone tool that supports Windows, macOS, and Linux, developed by the community under the Void banner. It is compatible with a wide array of language models, including Gemini 2.5, Claude 3.7, GPT-4, Grok 3, o4-mini, Qwen 3, DeepSeek, Llama, and Gemma 3. A unique feature of Void is its unlimited context window through RAG (Retrieval-Augmented Generation), which expands its utility for extensive data tasks.
Like PearAI, Void offers local inference and ensures zero data retention, aligning with privacy standards. It supports multi-file agentic editing, full terminal access, and predictive editing, catering to both novice and expert users. The tool is free to use, making it accessible to a broader audience. Void also facilitates seamless migration with a straightforward settings.json configuration file, making it a flexible choice for various projects.
Pros
- ✓ Open-source and free to use.
- ✓ Supports a broad range of language models.
- ✓ Unlimited context window through RAG.
- ✓ Seamless migration with a simple configuration file.
- ✓ Zero data retention for privacy.
Cons
- ✕ May require more technical expertise to implement.
- ✕ Open-source nature might lead to less formal support.
Comparison Table
| Feature | PearAI | Void |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | Windows, macOS, Linux | Windows, macOS, Linux |
| Developer | PearAI | Void (open-source) |
| Supported Llms | GPT-4, GPT-4o, Claude 3 Opus, Llama 3.1 405b, PearAI Model | Gemini 2.5, Claude 3.7, GPT-4, Grok 3, o4-mini, Qwen 3, DeepSeek, Llama, Gemma 3 |
| Custom Model | PearAI Model | – |
| Context Window | 200k tokens | Unlimited (RAG) |
| Agentic Editing | Yes, multi-file | Yes, multi-file |
| Terminal Access | Full | Full |
| Privacy Mode | Zero Data Retention (ZDR) | Zero Data Retention (ZDR) |
| Certifications | SOC2 Type II (Enterprise) | SOC2 Type II (Enterprise) |
| About Price | Free – $200/mo | Free |
| Config File | .pearrc | settings.json |
| Migration | Seamless | Seamless |
Conclusion
Both PearAI and Void offer robust features for users looking for standalone tools with extensive language model support and privacy features. While PearAI provides a sophisticated proprietary model and enterprise-level security with a higher price tier, Void stands out as a free, open-source option with unlimited context capabilities. The choice between them will largely depend on budget, specific model needs, and user expertise.