Kubeli review
A free, open-source Kubernetes GUI with broad AI and IDE integration.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Kubeli is a free, MIT-licensed desktop application for managing Kubernetes clusters across macOS, Windows, and Linux. It is aimed at developers and operators who want a graphical interface for multiple Kubernetes contexts, including local Minikube and cloud clusters. The application brings workload, node, service, cluster topology, log, and metric views into one desktop workflow, while retaining terminal access for container-level tasks.
Its strongest differentiator is the breadth of its Kubernetes management surface. Kubeli provides a graphical resource browser for pods, deployments, services, ConfigMaps, secrets, and nodes, plus real-time pod log streaming with filtering and search. Users can edit YAML resources, manage Helm releases, forward ports from pods and services to local ports, and view CPU and memory metrics. AI-assisted log analysis adds an analysis layer to troubleshooting, while the MCP server extends the workflow into Claude Code CLI, OpenAI Codex CLI, OpenCode, Droid, VS Code, and Cursor.
The product is best suited to teams and individuals who already work with Kubernetes contexts and want a free desktop GUI with terminal, configuration, observability, Helm, and AI capabilities in one place. Its scope is narrower for users looking for local cluster creation, container runtime selection, Kubernetes version selection, local registry support, or a broader add-on ecosystem. Choose Kubeli when graphical Kubernetes operations and AI-assisted investigation are priorities; choose another tool when the main need is provisioning or configuring local Kubernetes environments.
Kubeli pros and cons
- Where it wins
- Free, MIT-licensed desktop app for Windows, macOS, and Linux
- Combines logs, terminals, metrics, YAML, Helm, and port forwarding
- Connects with Claude Code CLI, Codex CLI, VS Code, Cursor, and more
- Where it doesn't
- Manages existing Kubernetes contexts rather than creating local clusters
- Focused on Kubernetes management rather than broader container workflows
- AI-assisted analysis depends on the connected integration or IDE workflow
Kubeli fact sheet, pricing and score →
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