Diagnose Kubernetes issues, explain resources, and generate YAML — all powered by local AI models running entirely on your machine. No data ever leaves your device.
Four powerful modes designed for real-world Kubernetes workflows.
Analyzes unhealthy pods by correlating container logs, Kubernetes events, and resource specs. Identifies root causes and recommends actionable fixes.
Get plain-English explanations of any Kubernetes resource. Understand what a Deployment, Service, or Ingress is doing and why it's configured that way.
Describe what you need in natural language and get production-ready Kubernetes YAML. Apply it directly from the AI panel.
Ask any Kubernetes question. Differences between resources, how to configure policies, troubleshooting tips — instant answers without leaving QwikKube.
Get started in three simple steps. No accounts, no API keys, no configuration.
Choose from three models — Lite (1.7B), Default (4B), or Advanced (Gemma 3n). One-click download from Settings.
Open the AI panel, attach resource context from any Detail View, or just type a question directly.
Streaming responses with chain-of-thought reasoning. See the AI think through the problem step by step.
Watch how QwikKube's AI assistant handles real Kubernetes scenarios.
Watch the AI analyze a CrashLoopBackOff pod, correlate logs with events, and suggest a fix.
See how the AI breaks down a complex Deployment configuration in plain English.
Describe what you need and get production-ready YAML generated instantly.
Unlike cloud-based AI tools, QwikKube's AI runs entirely in-process. Your cluster data, logs, and configurations are never transmitted to any external server.
No OpenAI, Anthropic, or any other API key. The model runs locally.
No network calls during inference. Works completely offline after model download.
Perfect for restricted environments. Side-load models for fully air-gapped clusters.
Powered by llama.cpp — optimized C++ inference with Metal/CUDA acceleration. No Python, no external processes.
Three models optimized for Kubernetes workflows. Download only what you need.
Lightweight and fast
Good for quick diagnostics on constrained hardware. Minimal resource usage with decent quality.
Strong diagnostics and reasoning
The recommended model. Strong diagnostics, YAML generation, and chain-of-thought reasoning.
8B-class quality at 4B footprint
Best quality for deep analysis and complex troubleshooting. 8B-class performance in a smaller memory footprint.
Hardware Support: Apple Silicon (Metal GPU acceleration), NVIDIA GPUs (CUDA), and CPU-only mode. 8 GB RAM minimum for Lite, 16 GB recommended for Default and Advanced models.
Download QwikKube and get AI-powered Kubernetes management with complete privacy.