kite-org/kite

🪁 A lightweight, modern Kubernetes dashboard. All your clusters. One workspace.

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 22nd, 2026
Created on June 17th, 2025
Open Issues & Pull Requests: 62 (+0)
GitHub issues: Enabled
Number of forks: 311
Total Stargazers: 3,157 (+0)
Total Subscribers: 11 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.7 hours
Mean response time: 15.1 days
90th percentile: 38.1 days
Tracked items: 251

How this project is maintained

About 12% of issues opened in the past year have never received a reply. 84% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 45% of tracked open issues have had no activity in three months. 80% of issues opened in the past year have been closed, leaving a working backlog. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 50
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 186 days
Stale 30+ days: 47
Stale 90+ days: 27

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (24)
  • help wanted (21)
  • bug (2)
  • good first issue (2)

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Detailed Description

Kite is a Kubernetes dashboard that unifies multi-cluster management, resource governance, and AI agents in a single workspace.

Kite addresses the fragmentation that occurs when managing multiple Kubernetes clusters and handling enterprise security requirements across them. It consolidates cluster visibility and control into one interface while embedding OAuth authentication, role-based access control, and audit logging to meet governance standards. The tool also integrates AI agents into the workspace, allowing them to operate alongside traditional resource management capabilities.

Teams running multiple Kubernetes clusters in production environments should consider Kite if they need a unified control plane without deploying separate tools for authentication, auditing, and cluster coordination. It suits organizations that want lightweight dashboard functionality without sacrificing enterprise security features. The project positions itself as a platform rather than a single-purpose tool, suggesting it is designed to grow beyond basic cluster inspection into a broader operational hub.

The project shows consistent development activity with regular commits and pull requests being merged. The codebase is actively maintained with ongoing refinement of features and bug fixes. The team responds to issues and incorporates community feedback into the development cycle. Work spans both core dashboard functionality and the integration of newer capabilities like AI agent support, indicating sustained investment across multiple areas of the platform.