# kubewall/kubewall

kubewall - Kubernetes Dashboard for Multi-Cluster Management Real-Time, Self-Hosted, Single Binary, AI-powered. Manage, monitor & debug K8s clusters in your browser, no cloud, no agents.

Repository: https://github.com/kubewall/kubewall
Canonical: https://ross.abutalabs.com/products/kubewall
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: dashboard, devops, k8s, k8s-dashboard, kubernetes, kubernetes-dashboard, productivity, developer-tools, kubernetes-monitoring, kubernetes-ui, golang, kubectl, kubernetes-helper, cloud-native, orchestration, ai, chatgpt, ollama, lmstudio, qwen3
Last push: 2026-08-26T14:01:55+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 98, longevity 51
- inputs: {"age_days": 722, "days_push": 7, "days_rel": 15, "gap_med": 22, "n_releases_24m": 22}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1929, forks 100 (observed 2026-08-28T04:05:55.949725+00:00)

## What it is
Kubewall is a self-hosted, single-binary Kubernetes dashboard for managing multiple clusters from the browser with real-time monitoring, resource management, log streaming, and port forwarding. It integrates AI providers (OpenAI, Claude, Gemini, Ollama, and others) for troubleshooting and config recommendations, with no cloud dependency or agents required.

## Use cases
- manage multiple kubernetes clusters from one dashboard
- debug pods and view logs in a browser instead of kubectl
- monitor cluster resources in real time
- get AI help troubleshooting kubernetes issues
- port forward to in-cluster services without CLI commands
- self-host a kubernetes UI with no cloud dependency
- scale deployments and restart pods with one click

## When to choose
- you want a lightweight single-binary k8s dashboard with zero dependencies
- you manage multiple clusters and need a unified browser UI
- you want AI-assisted troubleshooting with local models like Ollama
- you need self-hosted tooling that keeps cluster data local

## When to avoid
- you need a battle-tested dashboard with long-term enterprise support
- you require deep RBAC or multi-tenant access control features
- you prefer managing clusters purely via CLI or GitOps workflows
- you need a fully stable tool - the project is still under active development

## Facets
- artifact type: application
- maturity: active
- function: monitoring, developer-tools, chatbot, self-hosted, gui
- domain: cloud-computing, developer-tools, self-hosted
- platform: windows, self-hosted, browser
- tags: kubernetes-dashboard, multi-cluster, single-binary, ai-assistant, real-time-monitoring, port-forwarding, pod-logs, devops, containers, linux, macos, docker, web-server

## Member repositories
- kubewall/kubewall (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:55.949725+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:09:02.818040+00:00, confidence not recorded.
  - readme: https://github.com/kubewall/kubewall (fetched 2026-08-28T04:05:55.949725+00:00, sha 0b83da116b5a)
- Data as of 2026-08-30T08:39:29.467469+00:00.