Multi-ClusterKubernetes Operationsand Orchestration

Experience the future of multi-cluster Kubernetes. KubeStellar Console is an AI-powered dashboard that manages all your clusters with natural language missions, real-time monitoring, and community-driven automation.

Get Started with KubeStellar Console

$curl -sSL https://raw.githubusercontent.com/kubestellar/console/main/start.sh | bash
Try ConsoleExplore Console Docs
KubeStellar
Initializing clusters...

What is KubeStellar Console

An AI-powered multi-cluster Kubernetes dashboard that gives you unified visibility and control across all your clusters — installed in under a minute.

AI-Powered Operations

Use natural language AI Missions to manage your clusters. Ask questions, deploy workloads, and troubleshoot issues through an intelligent assistant that understands your infrastructure.

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Unified Multi-Cluster Dashboard

See all your Kubernetes clusters in a single pane of glass. Monitor resources, view logs, and manage workloads across any cluster — cloud, on-prem, or edge — from one interface.

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Extensible Marketplace

Customize your Console with dashboards, card presets, and themes from the community marketplace. Build and share your own extensions to tailor the experience to your needs.

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Using Lens?

Everything Lens had. Plus everything it didn't.

KubeStellar Console goes beyond basic cluster management with AI, security, cost, and GitOps built in.

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Using Headlamp?

Headlamp is a great Kubernetes dashboard.

KubeStellar Console adds multi-cluster AI, GPU visibility, and built-in ops tools.

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Your Brand. Our Platform

Give your CNCF project a production-ready Kubernetes dashboard in minutes.

150+ cards, 30 dashboards, AI missions — all rebranded to your project.

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KubeStellar Console plus KubeStellar-MCP form a new, standalone replacement for the functions of the legacy KubeStellar components. Information on those predecessors is included in the Legacy section of the documentation

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What You Can Do

Discover how KubeStellar Console simplifies multi-cluster Kubernetes operations.

AI Missions

Manage clusters using natural language. Deploy workloads, troubleshoot issues, and get intelligent recommendations — all through conversational AI.

Intelligent Cluster Management

AI Missions let you interact with your clusters through natural language, powered by MCP and A2A protocols.

Natural language cluster operations
AI-powered troubleshooting and recommendations
MCP and A2A agent integration

Multi-Cluster Visibility

Monitor all your Kubernetes clusters from a single dashboard. See resource usage, pod status, and cluster health at a glance across your entire fleet.

Unified Dashboard

Get a real-time view of all clusters with customizable dashboards and card presets.

Real-time cluster health monitoring
Cross-cluster resource views
Customizable dashboard layouts

One-Minute Setup

Install KubeStellar Console with a single curl command. GitHub OAuth authentication, automatic cluster discovery, and a ready-to-use dashboard in under 60 seconds.

Instant Deployment

Get started immediately with minimal prerequisites — just curl and a GitHub account.

Single command installation
GitHub OAuth out of the box
Automatic cluster auto-discovery

Marketplace & Themes

Extend your Console with community-built dashboards, card presets, and themes. Install from the marketplace or create and share your own customizations.

Community Extensions

The marketplace provides a growing library of extensions built by the community.

70+ card presets available
Custom dashboard templates
Theme support for personalization

Secure Access Control

Team-based access with GitHub OAuth. Control who can see and manage which clusters with role-based permissions and organization-level authentication.

Enterprise Security

Built-in security with GitHub OAuth and configurable access controls.

GitHub OAuth authentication
Team and org-based access
Configurable via environment variables

Agent & MCP Integration

Connect AI agents to your clusters through the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol for automated operations and intelligent orchestration.

AI-Native Architecture

Console is built from the ground up to work with AI agents and automation.

MCP server for AI tool integration
A2A protocol for agent collaboration
Extensible agent framework

Get in Touch

Have questions about KubeStellar Console? We're here to help!

Email Support

Get direct support from our team

support@kubestellar.io

Community Chat

Join our Slack workspace for real-time support

Join Slack

GitHub

Contribute, report issues, or browse the source code

View Repository

LinkedIn

Connect with our professional community

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YouTube

Check out meeting recording, support, and informational videos in the KubeStellar YouTube Channel

KubeStellar YouTube

Send us a message

KubeStellar Console - AI-Powered Multi-Cluster Kubernetes Dashboard