Kubeli icon
Kubeli icon

Kubeli

Lightweight desktop app offers macOS users real-time management of multiple Kubernetes clusters with advanced log streaming, integrated terminal, port forwarding, YAML editing, and optional AI-assisted debugging for enhanced troubleshooting capabilities.

Cluster Overview Get a comprehensive dashboard showing Nodes, Pods, Deployments, and Services. Visual metrics display CPU and memory usage, pod status, and top resource consumers.

Cost / License

  • Free
  • Open Source (MIT)

Platforms

  • Mac
  • Windows
Cluster Connection Connect to your Kubernetes clusters with a clean, minimalist interface. Select from multiple contexts including local Minikube and remote clusters.
Resource Diagram Visualize your cluster topology with interactive diagrams. See namespaces, deployments, and pods in a clear hierarchical view with health status indicators.
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Log Viewer Full-featured log viewer with search, timestamps, and live streaming. Errors are highlighted in red for quick identification and troubleshooting.
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Features

  1.  Kubernetes
  2.  Built-in AI Assistant
  3.  Kubernetes Monitoring

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Kubeli information

  • Developed by

    CH flag Atilla Deniz

  • Licensing

    Open Source (MIT) and Free product.

  • Written in

  • Alternatives

    13 alternatives listed

  • Supported Languages

    • English
    • German

AlternativeTo Category

AI Tools & Services

GitHub repository

  •  302 Stars
  •  24 Forks
  •  6 Open Issues
  •   Updated  
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What is Kubeli?

Kubeli is a modern, lightweight desktop application for managing Kubernetes clusters. Built with Tauri 2.0 (Rust backend) and Next.js frontend, it provides a native desktop experience with minimal resource usage - under 150MB RAM idle.

Key features include multi-cluster support with auto-detection for Minikube, EKS, GKE, and AKS, real-time pod watching via the Kubernetes watch API, log streaming with filtering and search, terminal access to containers, port forwarding with status tracking, and a Monaco editor for YAML editing.

Kubeli also offers optional AI integration through Claude Code CLI or OpenAI Codex CLI for log analysis and debugging assistance. An MCP Server is included for querying clusters directly from VS Code, Cursor, or Claude Code.

Currently available for macOS with Linux and Windows on the roadmap. MIT licensed.

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