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K8sGPT

k8sgpt.ai

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Spec score 7.9 #10 of 26 in AI DevOps Assistants

What it is

K8sGPT scans Kubernetes clusters with SRE-grade analyzers and explains problems in plain English. It provides a CLI, an in-cluster operator, and an MCP interface for AI assistants. The project lists 23 built-in analyzers and supports custom analyzers over gRPC. Fourteen cloud or local AI backends are listed, including OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Ollama, and LocalAI. Documented integrations include Prometheus, Trivy, Kyverno, KEDA, and AWS. Analysis without the explain option can run without an AI backend, while explanations require one. Local or air-gapped operation can use Ollama, LocalAI, or a custom REST backend. Anonymization masks names and identifiers before prompts are sent. Optional operator auto-remediation uses a configurable risk threshold. CLI, Docker, and operator paths require a reachable cluster and kubeconfig; operator installation requires Helm 3.

Spec sheet

Purpose
K8sGPT scans Kubernetes clusters with SRE-grade analyzers and explains problems in plain English.Read 7 Oct 2026 · k8sgpt.ai
Integrations
Documented integrations include Prometheus, Trivy, Kyverno, KEDA, and AWS.Read 7 Oct 2026 · k8sgpt.ai
Privacy
With the --anonymize option, names and identifiers are masked before a prompt is sent and restored in the answer.Read 7 Oct 2026 · k8sgpt.ai
Support
The site points users to community office hours and Slack.Read 7 Oct 2026 · k8sgpt.ai
AI backends
The site lists 14 cloud or local AI backends, including OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Ollama, and LocalAI.Read 7 Oct 2026 · k8sgpt.ai
Analyzers
The site lists 23 built-in analyzers and says users can add custom analyzers over gRPC.Read 7 Oct 2026 · k8sgpt.ai
Backend requirement
Analysis without the --explain option works without an AI backend; explanations require an AI backend.Read 7 Oct 2026 · k8sgpt.ai
Cluster access
The installation guide requires a reachable Kubernetes cluster and kubeconfig for CLI, Docker, and operator paths.Read 7 Oct 2026 · k8sgpt.ai
Interfaces
K8sGPT offers a CLI, an in-cluster operator, and an MCP interface for AI assistants.Read 7 Oct 2026 · k8sgpt.ai
Local operation
K8sGPT can use Ollama, LocalAI, or a custom REST backend for local or air-gapped operation.Read 7 Oct 2026 · k8sgpt.ai
Operating systems
The installation guide lists Windows binaries, macOS and Linux Homebrew support, and Linux packages in .deb, .rpm, and .apk formats.Read 7 Oct 2026 · k8sgpt.ai
Operator installation
The guide lists Helm as the installation method for the in-cluster operator and requires Helm 3 for that path.Read 7 Oct 2026 · k8sgpt.ai
Remediation
Operator auto-remediation is opt-in and gated by a configurable risk threshold.Read 7 Oct 2026 · k8sgpt.ai

Plans and prices

K8sGPT Free Open source · Apache 2.0 Read 7 Oct 2026 · k8sgpt.ai

Every K8sGPT plan and price →

Strong points and limits

Strong points

  • Free and open source under Apache 2.0
  • Twenty-three built-in analyzers
  • Fourteen cloud or local AI backends
  • Supports local and air-gapped operation
  • Optional risk-gated auto-remediation

Limits

  • Explanations require an AI backend
  • A reachable Kubernetes cluster and kubeconfig are required
  • Operator installation requires Helm 3
  • Auto-remediation is not enabled by default

Who it suits

It suits Kubernetes operators and SRE teams handling incident response or infrastructure troubleshooting. Teams needing local, air-gapped, or assistant-integrated analysis can use its listed backend and interface options.

Verdict

K8sGPT offers several interfaces and a wide backend selection for Kubernetes diagnosis. Installation depends on cluster access, and teams must provide an AI backend when they need plain-English explanations.

Where Specifiction places it

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