#4 · Primary category: AI Cloud Platforms & PaaS

kubesphere

agent-skills ai cloud-native cncf devops ebpf hacktoberfest kubernetes kubesphere llm multi-cluster multi-tenancy observability servicemesh skills skills-sh skillsmp

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

Project last updated:07/15/26

GitHub Stars

17.0K

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2.8K

Contributors

179

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Other

Why we included this project

KubeSphere is a container platform that gives teams one control plane for running Kubernetes across on-premise datacenters, multiple clouds, and edge devices. If you manage several clusters and are tired of juggling separate tools for provisioning, CI/CD, observability, and access control, it bundles those into a single multi-tenant console with a wizard-driven web UI. The platform handles the operational work: multi-cluster management, GitOps and Jenkins-based DevOps pipelines, logging and monitoring, Istio service mesh, and role-based workspace isolation. For AI workloads, it schedules and monitors GPU resources per tenant, and its KubeSphere Skills let AI agents like OpenClaw drive the platform through its own resource model instead of raw kubectl commands. Teams already running Kubernetes who want a coherent, extensible platform rather than a patchwork of point tools will find this a practical fit.

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