Zro: Private Inference for Coding Agents

Introduction

Zro is a specialized tool built for developers who need to run coding agents securely. It acts as a private endpoint that connects users to powerful open-source AI models. Unlike many other services, Zro is designed with privacy as its top priority. It ensures that no user data is kept after a task is finished and that customer information is never used to train future models. The service runs on servers located in Europe, specifically in Finland and France, to meet strict data laws.

Benefits

Zro offers several key advantages for developers and organizations. First, it guarantees complete privacy. When you use the service, your prompts and the code they generate are not stored. This means your intellectual property stays safe. Second, the platform is optimized for long coding sessions. It uses advanced compression and custom hardware settings to handle complex tasks quickly. Third, it is easy to connect to existing tools. Zro works with popular coding agents like Claude Code and Codex CLI without requiring major changes to your current setup. Finally, it supports multiple open-weight models, giving users flexibility in choosing the right AI for their specific coding needs.

Use Cases

Zro is ideal for teams that handle sensitive code or operate under strict data regulations. It is perfect for software development shops that want to use AI to write or debug code without sending that data to public servers. Developers can use it to run multi-turn coding sessions where context is important. For example, a team can use Zro to help build a new application while ensuring all their proprietary algorithms remain private. It also works well for organizations in the European Union that must comply with local data sovereignty rules. Users can launch tools like OpenCode or Hermes directly through the Zro interface to get immediate help with their projects.

Pricing

Zro offers flexible pricing options to fit different needs. There are subscription plans that start at $20 per month. This plan includes $60 worth of inference spend. The usage amount resets every month. For users who prefer not to commit to a subscription, there are usage packs available. These packs can be bought without a monthly fee but they expire after 90 days. This structure allows both small teams and larger organizations to pay only for what they use.

Vibes

While there are no public reviews or testimonials available in the provided information, the product is positioned as a robust solution for privacy-conscious developers. The focus on zero data retention and EU-based infrastructure suggests a strong appeal to users who are wary of data leaks. The quick start process using simple commands like npm install indicates a user-friendly experience for those already familiar with command-line tools. The support for major coding agents like Cursor and Cline shows that the community is actively adopting the tool for real-world workflows.

Additional Information

Zro is developed by MoonMath. The company has focused on creating privacy-forward infrastructure for the European market. They have partnered with or integrated their technology into several coding tools to make adoption easier. The platform currently supports models like MiniMax M3 and GLM-5.2. They also plan to add more models soon, including DeepSeek V4 Pro and Kimi K2.6. This roadmap shows a commitment to expanding their library of available AI models for coding tasks.