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Hyerix

Hyerix

An AI-native desktop GUI for managing NATS infrastructure locally.

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Product memo

Backend engineers and SREs running NATS infrastructure use it to manage their clusters. This local-first desktop GUI handles scheduling work, replacing scattered tools and complex CLI commands. It includes an AI-native interface for JetStream, KV, and Object Store management, alongside real-time metrics and anomaly detection. Signal AI allows plain-English queries, with all data processing handled locally to ensure privacy.

For who
Backend engineers and SREs running NATS
Solves what
Provides an AI-native desktop GUI for managing NATS infrastructure.
  • Local-first desktop GUI
  • AI-powered cluster insights
  • Real-time monitoring & anomaly detection

In their own words

The AI-native NATS GUI for JetStream, KV, and cluster ops.

Built for backend engineers and SREs running NATS in production. Inspect streams, debug consumers, validate configs — without CLI archaeology.

The AI-native desktop GUI for NATS. Manage JetStream, browse KV and Object Stores, and ask Signal AI why your cluster is misbehaving — in plain English.

Operator & company

Company

Founded

May 2026

Operating model

Business model

Saas

Platform

Desktop

Audience

Developers

Builder strategy

ProvenRadar analysis

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About Hyerix Expand

Hyerix provides a specialized AI-native desktop GUI for backend engineers and SREs who manage NATS infrastructure. It simplifies complex cluster operations, offering a local-first approach that ensures data privacy by processing all information on the user's machine.

The tool includes features for managing JetStream, KV, and Object Stores, alongside real-time metrics and anomaly detection. Its unique Signal AI allows users to query cluster behavior in plain English, reducing the need for extensive CLI knowledge and simplifying troubleshooting workflows for NATS operators.

Competitive context

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Commercial cues

Model
subscription
Free tier
Yes
Trial
14 days

Pricing strategy

  • A free tier for two machines removes adoption friction for individual users.
  • An Enterprise plan with custom pricing handles larger team deployments.
  • 14-day trial lowers adoption risk.

Tech stack

Astro