KubeStellar Console
VerifiedAI-powered dashboard for overseeing multiple Kubernetes clusters and CNCF project installs.
What is KubeStellar Console?
KubeStellar Console is an open-source AI agent that serves as a centralized dashboard for handling multiple Kubernetes clusters. It provides guided installation missions for hundreds of CNCF projects, streamlining complex setup processes with intelligent recommendations and real-time oversight.
The tool operates by connecting to user clusters through a lightweight agent bridge when self-hosted, enabling secure interactions with kubeconfig contexts and AI providers. A no-install hosted version delivers demo data for quick evaluation without any local setup.
It targets Kubernetes administrators, DevOps engineers, and platform teams who need efficient multi-cluster visibility and simplified project deployments in cloud-native environments.
Capabilities
What you can build with KubeStellar Console
Multi-Cluster Oversight
Monitor and manage several Kubernetes clusters from one interface with AI-assisted insights and alerts.
Guided CNCF Deployments
Follow step-by-step missions to install and configure 250+ open-source projects without manual scripting.
Secure Self-Hosted Access
Bridge the console to personal clusters using the agent for production data and custom AI integrations.
Install KubeStellar Console
curl -sSL https://raw.githubusercontent.com/kubestellar/console/main/start.sh | bashcurl -sSL https://raw.githubusercontent.com/kubestellar/console/main/start.sh | bash- 1Visit the hosted demo at console.kubestellar.io to explore the UI with sample data.
- 2For personal clusters, run the start script via curl to download and launch the console locally.
- 3Install the kc-agent daemon if needed to bridge browser requests to your kubeconfig.
- 4Access the console at http://localhost:8080 and connect your clusters through the agent.
- 5Use deploy scripts for in-cluster installations with options for OpenShift or custom ingress.
KubeStellar Console: pros & cons
Pros
- +Combines AI guidance with practical multi-cluster tools for faster project rollouts.
- +Offers both hosted demo and flexible self-hosting paths including air-gapped support.
- +Strong security posture with OpenSSF badges and active maintenance metrics.
- +Extensive documentation and contribution guides for developers.
Cons
- –Hosted version cannot connect to real user clusters, limiting immediate testing.
- –Requires additional setup and a local agent for full cluster integration.
- –Primarily focused on Kubernetes users, less relevant for non-cluster workflows.
Frequently asked questions
No, the hosted version uses only demo data and disables local agent connections for security.
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