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What Is Ktulhu?

Ktulhu is a fast, private, GPU-powered AI assistant built with a modern real-time architecture.
It runs on an RTX 3090, streams responses instantly via WebSockets, and is designed to feel like a native chat application — on both web and mobile.

No login.
No long requests.
No waiting for pages to reload.

Ktulhu focuses on simplicity, speed, and clean engineering.

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01
Why I Built Ktulhu

The Problem With Today’s AI Tools

Most AI apps rely on cloud backends, require accounts, feel slow in the browser, or use overly complex infrastructure. This creates friction for users and makes self-hosting difficult. I wanted something that works immediately without barriers.

A Fast, Private, Local-First Alternative

Ktulhu removes the overhead: no login, no tracking, minimal backend logic. Identity comes from the device, and responses stream instantly over WebSockets. It feels fast, lightweight, and reliable — closer to a native app than a traditional web tool.

Built on Practical Engineering, Not Hype

Ktulhu follows a simple philosophy: stable, predictable, no surprises. Instead of chasing trends, it focuses on clean architecture and real-world usability. GPU inference, optimistic UI, and a minimal backend keep the experience smooth and dependable from the first message.

02
Why Ktulhu

What Makes Ktulhu Different?

Speed

Built for Real-Time Response

Ktulhu uses WebSockets as its primary communication channel, so messages stream instantly as they are generated. There’s no waiting for page reloads or long request cycles. The result is a chat experience that reacts immediately to user input and keeps the flow natural.

Latency

Low Latency, High Interactivity

Because the system never falls back to REST polling, every interaction feels smooth and responsive. Token generation appears in real time, and the interface updates continuously without breaking the conversation rhythm. It behaves more like a native application than a traditional web page.

Web Sockets

No Polling, No Sync Headaches

With WebSockets at the core, Ktulhu avoids the usual complexity of syncing state between browser and backend. There are no repeated fetch loops, no timers, and no redundant API traffic. The server and client stay connected through a single clean, persistent stream.

The app

A Desktop-Like Experience in the Browser

The WebSocket-first design gives Ktulhu a level of responsiveness rarely seen in AI web tools. Messages appear instantly, updates feel smooth, and the interface stays live at all times. This makes the system feel closer to a desktop chat client than a browser app — simple, fast, and reliable.

03
Local GPU Compute

Powered by Local GPU Inference

Powered by Nvidia

Ktulhu runs Mistral 8B directly on an RTX 3090, keeping the entire model in VRAM for maximum speed and responsiveness. This approach eliminates external dependencies and cloud latency, allowing the system to deliver fast, continuous token streaming. Everything happens on your own hardware, giving you full control over performance and privacy.

App ready

Mobile-Ready Without Extra Work

Ktulhu is built as a true single-page application with a dedicated WebSocket-driven core. Because of this, it runs flawlessly inside an Expo WebView with no changes to the backend. The experience on iOS and Android feels identical to the web version — fast, responsive, and always live. One architecture powers every platform.

Own stack and hardware

Built to Run on Your Own Hardware

Since the system uses local GPU inference, you can deploy Ktulhu on your own machine or server without relying on cloud providers. It works instantly once the model is loaded into VRAM and offers full privacy by keeping conversations on your hardware. This makes it ideal for personal use, self-hosted setups, or private environments where cloud AI isn’t an option.

Next ai

A Practical Foundation for AI Builders

Ktulhu isn’t just a chat interface — it’s a stable foundation for building new AI features. Its clean Rust backend, WebSocket pipeline, and optimistic frontend design make it easy to experiment, extend, or integrate into larger systems. Whether you want to add RAG, embeddings, custom prompts, or domain-specific tools, the platform is ready to support your ideas.

For everyone

A Desktop-Like Experience in the Browser

The system’s simplicity makes it approachable, while the underlying architecture appeals to experienced engineers. It’s a solid fit for software developers, founders exploring AI products, machine learning hobbyists, privacy-focused users, and anyone curious about Rust + GPU-accelerated inference. Ktulhu offers a smooth entry point with plenty of room for advanced work.

Try Ktulhu online

05
Try It Online

You’ll be able to test Ktulhu directly in the browser through a streamlined WebSocket-driven chat interface. The demo loads instantly and requires no login or setup — simply open the page and start typing. It’s the fastest way to experience the real-time streaming and responsive UI that define the system.

06
Explore the Architecture

A full technical walkthrough will be available for developers who want to understand how Ktulhu works under the hood. It covers the Rust backend, WebSocket pipeline, GPU inference loop, and the local-first identity model. The goal is full transparency and a clear view of the system’s engineering choices.

07
GitHub Repository

The GitHub repository will contain the complete source for the backend, SPA, and infrastructure logic. It’s built to be readable and easy to extend, making it a practical starting point for anyone interested in Rust-based AI systems or GPU-powered inference pipelines.

08
Mobile Experience

Ktulhu runs smoothly inside an Expo WebView, offering the same fast, real-time chat on iOS and Android as on the web. The mobile app uses the exact same architecture and requires no additional backend layers, making updates simple and the experience consistent across devices.