# K8sGPT

According to OpenAITools.app telemetry verified on 2026-11-11, K8sGPT (k8sgpt.ai) is an AI platform indexed under AI Developer Tools generating 720 monthly visits with a month-over-month traffic delta of -2.71K (-79%). Its primary geographic market is Global (— traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include K8Studio (7.41K visits/mo), Warp (657.37K visits/mo), KaneAI (901.34K visits/mo).

AI-powered Kubernetes diagnosis in plain English

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | K8sGPT |
| Handle | k8sgpt |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| Official Domain | k8sgpt.ai |
| Website URL | https://k8sgpt.ai |
| Categories | AI Developer Tools, AI Assistant, AI Copilot, AI Productivity Tools |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 720 |
| MoM Traffic Change | -2,710 |
| MoM Growth Rate | -79% |
| Primary Market | Global |
| Market Share | — |
| Direct Visits | 283 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 75 |
| Email Visits | 26 |
| Review Score | 4.6 |
| Saved Count | 2 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Contact for Pricing |
| Tags | Kubernetes, AI, Troubleshooting, Diagnosis, Automation, SRE, DevOps, Cluster Management, AI-Powered Analysis, Auto-Remediation |

## Overview

K8sGPT exists to shorten the distance between a broken cluster and a fix. Instead of grepping through events and hoping for a pattern, you point the CLI at a kubeconfig and run an analyze command. Roughly two dozen built-in analyzers encode common SRE knowledge — problems with Pods, Services, PVCs, Ingress, HPAs, webhooks, network policies and more — and flag what looks wrong.

Because analyzers are rule-based, a scan is useful even without any AI. The optional step is explanation: add a backend such as OpenAI, Azure OpenAI, Amazon Bedrock, Vertex AI, Gemini, Groq, Cohere, watsonx, Hugging Face, Ollama, LocalAI or a custom REST endpoint, and K8sGPT translates the raw output into a diagnosis with recommended actions. Sensitive data can be anonymized before it leaves the cluster, and analysis can be run fully locally with Ollama or LocalAI.

The operator is where the project gets interesting for platform teams. A single custom resource turns K8sGPT into a control loop that continuously watches workloads, records findings, sends notifications to tools like Slack, and — when you explicitly enable it and set a risk threshold — applies fixes automatically. Teams can extend coverage with custom analyzers written in any language over gRPC, or pull in findings from Trivy, Prometheus, Kyverno, KEDA and AWS.

## Pricing & Plans

Free and open source under the Apache 2.0 license. You pay only for whichever AI backend you connect, or nothing extra if you run a local model via Ollama or LocalAI. Enterprise support is typically arranged separately with the maintainers or vendors.

## Key Features & Capabilities

- **23 built-in analyzers:** Scan Pods, Deployments, Services, Ingress, StatefulSets, Jobs, Nodes, HPAs, PVCs, network policies, webhooks and more, with no AI required.
- **14 AI backends, cloud or local:** Choose OpenAI, Bedrock, Vertex AI, Gemini, Groq, Cohere, watsonx, Hugging Face, Ollama, LocalAI or a custom REST endpoint for explanations.
- **Operator with auto-remediation:** One custom resource creates a control loop that watches, explains, records and notifies — and can apply fixes when risk thresholds are met.
- **Bring your own integrations:** Ingest findings from Trivy, Prometheus, Kyverno, KEDA and AWS, or write custom analyzers in any language over gRPC.
- **Safety guardrails:** Anonymize data before it reaches a remote model, cap automated actions by risk threshold, and run entirely offline if needed.

## Primary Use Cases

- **Faster incident triage (Site reliability engineer):** Run a single analyze command against a misbehaving cluster to get an explained list of problems instead of digging through events manually.
- **Cluster-wide guardrails (Platform engineer):** Deploy the operator to continuously watch every namespace, pipe findings into Slack, and allow narrowly scoped auto-remediation.
- **Pre-deployment checks in CI (DevOps engineer):** Add K8sGPT to a pipeline so configuration and workload issues are surfaced and explained before changes reach production.
- **Consistent audits across customers (Consultant or MSP):** Standardize cluster reviews with the same analyzer set and produce plain-English reports that non-Kubernetes stakeholders can read.

## Strengths

- Open source under Apache 2.0, with backing in the CNCF Sandbox
- Analyzers deliver value with or without an AI backend
- Flexible model choice including fully local and on-prem options
- Three surfaces — CLI, operator and MCP server — cover individual debugging and always-on monitoring

## Limitations

- Requires solid Kubernetes and command-line familiarity
- Explanations are only as good as the AI backend you configure, and remote backends add cost and data-governance considerations

## Frequently Asked Questions

### Do I need an AI provider to use K8sGPT?
No. The built-in analyzers run without AI and will still identify problems. An AI backend is only needed to have results explained in plain English with suggested next steps.

### Can it fix issues automatically?
Yes, through the operator, but only when you enable auto-remediation and set a risk threshold. You can also run it in a notify-only mode where it records and alerts without changing anything.

### Is my cluster data sent to a third party?
Only if you connect a remote backend. There is an anonymization option, and you can keep everything on-premises with local backends such as Ollama or LocalAI.

### How much does it cost?
The tool itself is free and open source. Costs come from the AI backend you choose, if any.

### What is K8sGPT's monthly traffic and growth trend?
K8sGPT currently receives 720 monthly visits, with a month-over-month traffic change of -2.71K (-79% growth rate). Its primary source market is Global (— share), including 283 direct visits/mo and — organic search visits/mo.

### Is K8sGPT free? What is its pricing model?
K8sGPT operates on a Contact for Pricing pricing model. Free and open source under the Apache 2.0 license. You pay only for whichever AI backend you connect, or nothing extra if you run a local model via Ollama or LocalAI. Enterprise support is typically arranged separately with the maintainers or vendors. Supported billing and checkout platforms include: not listed.

### What are the best K8sGPT alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to K8sGPT are: 1. K8Studio (7.41K visits/mo); 2. Warp (657.37K visits/mo); 3. KaneAI (901.34K visits/mo); 4. Cursor (4.79M visits/mo); 5. CtrlOps (25.37K visits/mo).

### Which platforms and core AI capabilities does K8sGPT support?
K8sGPT is classified under AI Developer Tools, AI Assistant, AI Copilot, AI Productivity Tools, supports the following platforms: Website, and its core capability tags include: Kubernetes, AI, Troubleshooting, Diagnosis, Automation, SRE.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [K8Studio](https://openaitools.app/tool/k8studio) | 7,409 | Free Trial, Paid | [Compare](https://openaitools.app/compare/k8sgpt-vs-k8studio) |
| [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/k8sgpt-vs-warp-ai) |
| [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/k8sgpt-vs-kaneai) |
| [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | Freemium | [Compare](https://openaitools.app/compare/cursor-sh-vs-k8sgpt) |
| [CtrlOps](https://openaitools.app/tool/ctrlops) | 25,368 | Free Trial, Paid | [Compare](https://openaitools.app/compare/ctrlops-vs-k8sgpt) |
| [0ptikube](https://openaitools.app/tool/0ptikube) | 0 | Contact for Pricing | [Compare](https://openaitools.app/compare/0ptikube-vs-k8sgpt) |
| [Termdock](https://openaitools.app/tool/termdock) | 64,756 | Free | [Compare](https://openaitools.app/compare/k8sgpt-vs-termdock) |
| [ADE](https://openaitools.app/tool/ade) | 5,689 | Free | [Compare](https://openaitools.app/compare/ade-vs-k8sgpt) |
| [LabEx.io](https://openaitools.app/tool/labex-io) | 1,127,110 | Freemium | [Compare](https://openaitools.app/compare/k8sgpt-vs-labex-io) |
| [KubeHA](https://openaitools.app/tool/kubeha) | 378 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/k8sgpt-vs-kubeha) |
| [ClearML](https://openaitools.app/tool/clear-ml) | 20,123 | Contact for Pricing | [Compare](https://openaitools.app/compare/clear-ml-vs-k8sgpt) |
| [Raycast](https://openaitools.app/tool/raycast) | 710,581 | Freemium, Free Trial | [Compare](https://openaitools.app/compare/k8sgpt-vs-raycast) |

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Source: https://openaitools.app/tool/k8sgpt