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AI-powered root cause analysis

Debug Kubernetes
failures in seconds.

KubeIntellect finds root cause automatically, proposes the fix, and executes it once you approve — no digging through logs.

Free to use  ·  No credit card  ·  Works with any cluster

Peer-reviewed — published in the Journal of Grid Computing

Real session · no cherry-picking

Works with your existing Kubernetes stack

Kubernetes
Prometheus
Helm
Grafana
AWS EKS
GKE
kubectl
ArgoCD

Interactive Demo

See it in action

Provision a namespace, deploy a web app, expose it, scale it — all in plain English.

kubeintellect — deploy-demo

Real session · no cherry-picking

Use Cases

Three things we do exceptionally well

Not a platform. Not a framework. A tool that solves real Kubernetes pain.

01 — Debug

Debug failures instantly

"Why is my pod failing?"

Get root cause analysis in seconds. KubeIntellect correlates logs, events, and config to tell you exactly what broke and the exact command to fix it.

  • Identifies CrashLoopBackOff, OOMKilled, ImagePullBackOff and more
  • Correlates container logs with Kubernetes events automatically
  • Provides a concrete kubectl fix — not just a description
02 — Deploy

Create deployments via chat

"Deploy FastAPI with Redis on K8s"

Describe what you want. Get production-ready YAML with resource limits, probes, HPA, and RBAC — no templates to hunt down.

  • Generates Deployment, Service, Ingress, and HPA
  • Includes liveness/readiness probes and resource limits
  • Best practices applied by default — no hand-holding required
03 — Monitor

Monitor clusters in plain English

"Is my cluster healthy?"

Get a plain-English health summary. Spot resource pressure, error rate spikes, and impending evictions before they page you.

  • Detects node memory pressure and CPU throttling
  • Flags elevated error rates with service-level context
  • Proactive suggestions to prevent incidents

Why KubeIntellect

Not kubectl. Not ChatGPT. Not both.

Pasting kubectl output into ChatGPT gets you advice. KubeIntellect gets you results — because it has direct access to your cluster.

Full API coverage

It acts — it doesn't just explain

kubectl + ChatGPT tells you what command to run. KubeIntellect runs it. Read, write, exec, delete — the full Kubernetes API, with human approval before anything destructive.

Multi-agent orchestration

Specialized agents, not one prompt

A supervisor routes your question to specialist agents — one for logs, one for events, one for metrics, one for RBAC. Each domain gets an expert, not a generalist guess.

Dynamic tool synthesis

Creates tools it doesn't have yet

When a query needs a capability that doesn't exist, a code-generator agent writes and executes a new tool on the fly. In the paper evaluation this succeeded on 63 of 77 novel requests (81.8%).

Workflow memory

Handles multi-step tasks end-to-end

KubeIntellect remembers context across steps in a workflow. Diagnose, patch, verify, roll back — all in one conversation, without losing state between commands.

Peer-reviewed research

Not a demo. A measured system.

KubeIntellect isn’t a weekend prompt wrapper. Its architecture and results were published in the Journal of Grid Computing — evaluated on a live four-node cluster running 170 pods across 18 namespaces.

93%Query resolution186 of 200 real operational queries resolved end-to-end.
+25ptsOver a raw GPT-4o baseline75% vs 50% task pass rate on the same fault-injection scenarios.
81.8%Tools synthesized at runtime63 of 77 novel requests solved by generating a new tool on the fly.
7–10sFrom question to answerMedian end-to-end latency at ~$0.036 per read query.

Results from the peer-reviewed evaluation. 13 domain-specialized agents coordinated by a LangGraph supervisor, with human approval required before any write to the cluster.

How It Works

From question to fix in three steps

Fully automated. No digging through logs.

STEP 01

Connect your cluster

Point KubeIntellect at your cluster via kubeconfig or environment. Read-only by default — no cluster-admin required.

$ pip install kube_q $ kube_q connect --kubeconfig ~/.kube/config
STEP 02

Ask in plain English

Type your question naturally — no kubectl syntax, no PromQL, no YAML hunting. Just describe the problem.

> "Why is payment-service crashing?"
STEP 03

Get instant diagnosis + fix

AI agents correlate logs, events, and metrics simultaneously. You get root cause, explanation, and the exact command to fix it.

✓ ImagePullBackOff — wrong tag. Fix: kubectl set image...
Human-in-the-loop — confirms before executing any destructive action

Security & Setup

Connects in 30 seconds. Your cluster stays yours.

No agents to install. No cluster-admin. No credentials leaving your machine.

Uses your existing kubeconfig

No new agents to install on the cluster. KubeIntellect reads the same kubeconfig kubectl uses — local file or environment variable.

~/.kube/config or $KUBECONFIG

No cluster-admin required

Works with standard read permissions out of the box. Write operations only need the specific RBAC rules for what you're doing — nothing more.

verbs: [get, list, watch] → read-only mode

Human approval before any write

Every destructive operation — delete, scale to zero, patch — requires your explicit approval. You see the exact command before it runs.

✋ Approve? kubectl delete pod payment-7f9b [y/N]

Your data stays yours

Queries go to the KubeIntellect inference server to generate responses. Your cluster credentials never leave your machine.

kubeconfig → stays local · queries → api.kubeintellect.com

Up and running in one command

One pip install. That’s it.

No agents to deploy, no Helm charts, no cluster-admin. Install the CLI, then just ask — kq "why is my pod crashlooping?". Your kubeconfig stays local.

pip install kube_q
Free access — no credit card

Start debugging faster today

Start using KubeIntellect. Free for individuals — no cluster-admin required.

Free to use  ·  Works with any cluster