Kite - Modern Kubernetes Dashboard
A lightweight Kubernetes dashboard uniting multi-cluster management, enterprise-grade governance, and AI agents.
- Source repo
- kite-org/kite
- Stars
- ★ 3.2k
- Last updated
- 8d ago
- License
- Apache-2.0
- Primary language
- TypeScript
- FA score
- 34/100 · Major gaps
At a glance
- How it runs
- Works with
- Platform-specific
- Cost
- Free, no paid service needed
- Setup effort
- Medium · a few setup steps
- You'll need
- Typical use
- Platform engineers need to monitor and manage resources across multiple Kubernetes clusters from a single pane.
- Not a fit if
- Teams needing fully offline operation without Prometheus
- Production teams wanting zero-config persistence out of the box
- Enterprises needing stable APIs and mature documentation
- Source review
- 34/100 · Major gaps 3 safety controls not found
What does this agent do, and when should you use it?
Kite is a lightweight, modern Kubernetes dashboard that unifies real-time observability, multi-cluster and resource management, enterprise-grade user governance (OAuth, MFA, passkeys, RBAC, and audit logs), and AI agents in one workspace. It is not just a tool, but more like a platform. Kite supports managing resources and monitoring across multiple clusters, with flexible themes and i18n support. The project is licensed under Apache-2.0 and offers simple deployment via Docker, Helm, or kubectl. It includes real-time monitoring, log viewing, web terminal, and an AI assistant. The project is community-maintained and supported by donations.
Kite provides a unified Kubernetes management experience through its web interface. It supports multi-cluster switching, with independent Prometheus configuration per cluster for monitoring data collection. Users can view and manage resources like Pods, Deployments, Services, etc., with live YAML editing and operations (create, update, delete, scale, restart). It also offers Helm chart management, CRD support, global search, log viewing, and web terminal. For security, it integrates OAuth, MFA, passkeys, and RBAC for enterprise-grade access control. An AI assistant and built-in kubectl console provide additional assistance.
- Platform engineers need to monitor and manage resources across multiple Kubernetes clusters from a single pane.
- DevOps teams want to deploy, upgrade, and rollback applications using Helm charts.
- Enterprise administrators need fine-grained RBAC and audit logs for different teams.
- Developers want to access Pods or Services directly without kubectl port-forward.
- Operators need to view pod logs and enter container terminals directly in the browser.
How do you install or deploy this agent?
Install with Docker: docker run -d -p 8080:8080 -v ./data:/data -e DB_DSN=/data/db.sqlite ghcr.io/kite-org/kite:latest. For Kubernetes, use Helm (recommended): helm install kite oci://ghcr.io/kite-org/charts/kite -n kube-system, or kubectl apply -f deploy/install.yaml (note: for production, configure persistence). To build from source, clone the repo, then run make deps and make build.
How do you use this agent?
After startup, access http://localhost:8080 or use kubectl port-forward -n kube-system svc/kite 8080:8080. On first use, configure kubeconfig for cluster discovery. Log in with OAuth or password, then manage resources based on RBAC permissions.
What are this agent's strengths and limitations?
- Multi-cluster management with independent Prometheus per cluster for unified monitoring.
- Enterprise-grade security features including OAuth, MFA, passkeys, and RBAC for compliance.
- Built-in Helm chart management simplifies application lifecycle.
- Real-time monitoring, logs, and terminal access reduce reliance on kubectl.
- Depends on Prometheus; each cluster must have Prometheus configured for monitoring features.
- Documentation and community support are limited; may rely on Slack for help.
- Production deployment requires manual persistence configuration to avoid data loss.
- Project is under active development; APIs or features may change.
How does this agent compare with similar options?
Key facts side by side with the most closely related agents.
| Agent | Source review | Form / cost | Stars | Updated | Language | Full support on |
|---|---|---|---|---|---|---|
| Kite - Modern Kubernetes Dashboard This agent | 34 · Major gaps | Self-hosted serviceFree | ★ 3.2k | 8d ago | TypeScript | — |
| kagent - Kubernetes-Native AI Agent Framework | 43 · Major gaps | FrameworkFree + model costs | ★ 4k | today | Go | — |
| Sico Digital Worker Platform | 72 · Some gaps | Self-hosted serviceFree + model costs | ★ 283 | 1mo ago | Python | OpenAI API · Claude API |
| HolmesGPT SRE Agent | 57 · Major gaps | CLIFree + model costs | ★ 3.6k | 1d ago | Python | OpenAI API |
How does FollowAgents rate this agent?
Why each dimension lost points
Evidence shows security policy (SECURITY.md) and dependency management (go.mod), but lacks specific implementation details for least privilege, user confirmation, and data flow transparency. Deductions: no clear documentation or code evidence for permission model, user confirmation mechanisms, or data flow descriptions.
Project has CI workflow (ci.yml) and test setup (setup.ts), but no detailed explanation of failure message handling or dependency availability guarantees. Deductions: no clear evidence of error handling strategies or dependency availability assurance.
README describes multiple use cases (multi-cluster, resource management, monitoring, etc.), but does not clearly define capability boundaries or trigger precision. Deductions: lack of detailed explanation of capability boundaries and trigger conditions.
Project has README, LICENSE, SECURITY.md, but lacks version changelog and detailed known limitations. Deductions: no CHANGELOG or known limitations section provided.
Project provides a rich feature list, but no specific evidence of output usability or cost-benefit. Deductions: lack of user feedback or performance data.
Claims in README have documentation links, but no traceable verification evidence. Deductions: lack of cross-source verification and clear separation of facts and inferences.
- Not found in source: confirmation before actingTurn on (or add) a confirmation step before it acts, and try it in a sandbox or test environment before real data.
- Not found in source: data-flow disclosureWatch which external services it contacts (proxy or firewall logs) and keep sensitive data out until you know where it goes.
- Not found in source: rollback or recovery pathBack up first, or work on a git branch or snapshot, so its changes can be undone.
- Publisher identity is unverified; proceed with caution.
- No detailed implementation of least privilege or user confirmation; review code before deployment.
- Many dependencies; check dependency security.
Recent releases
Latest entries from the project's GitHub Releases. Notes are quoted from upstream as written, not rewritten or tested by FollowAgents.
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Release notes excerpt
What's Changed > [!IMPORTANT] > Gateway and HTTPRoute management has moved to the [Gateway API plugin](https://github.com/kite-org/kite-plugins/tree/main/plugins/gateway-plugin). Install it from Plugin management to restore dedicated management pages. Existing fine-grained RBAC rules should use gateways.gateway.networking.k8s.io and httproutes.gateway.networking.k8s.io. Highlights Added plugin support for extending Kite …View on GitHub ↗ -
Release notes excerpt
What's Changed Highlights Added Pod debugging with ephemeral containers and copy-to mode Pods now support in-place debugging with ephemeral containers on Kubernetes 1.25+, and copy-to debugging with command and image overrides for containers that lack shell tools or keep crashing. Ephemeral containers are also available in Pod details, overviews, logs, and terminal selectors. Thanks @zxh326 ([#719](https://github.com/kite-org/kite/pull/719)) Added OCI Helm chart repository support …View on GitHub ↗ -
Release notes excerpt
What's Changed Highlights Added Kite Cluster Agent for connecting remote Kubernetes clusters Clusters can now connect to Kite through an outbound connection using the [Kite Cluster Agent](https://kite.zzde.me/guide/kite-cluster-agent), without exposing the Kubernetes API server directly. Thanks @TimeBye and @zxh326. ([#682](https://github.com/kite-org/kite/pull/682), [#684](https://github.com/kite-org/kite/pull/684), [#685](https://github.com/kite-org/kite/pull/685), [#694](https://github.com/kite-org/kite/pull/694), [#697](https://github.com/kite-org/kite/pull/697)) …View on GitHub ↗