Skip to content
SPECIFICTION
Get listed

K8sGPT vs Kestrel

K8sGPT

k8sgpt.ai

Kestrel

usekestrel.ai

Side by side

FigureK8sGPTKestrel
Price fromFree$100/mo
Free planYesYes
Free trial—Yes
Open source——
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published14
Spec score · AI DevOps Assistants7.9 (#10)8.0 (#9)
IntegrationsDocumented integrations include Prometheus, Trivy, Kyverno, KEDA, and AWS.Kestrel provides 40+ integrations and supports custom HTTP APIs and webhook triggers.
PrivacyWith the --anonymize option, names and identifiers are masked before a prompt is sent and restored in the answer.Kestrel's privacy policy describes Kestrel AI as an AI-native Kubernetes security platform that detects, analyzes, and remediates Kubernetes infrastructure risks.
PurposeK8sGPT scans Kubernetes clusters with SRE-grade analyzers and explains problems in plain English.Kestrel automates incident response, cloud provisioning, CI/CD, security, and developer requests with AI agents for platform engineering.
SupportThe site points users to community office hours and Slack.Incident Response and Cloud AI Copilot list community support.

Plans

K8sGPT

  • K8sGPTFree

K8sGPT pricing →

Kestrel

  • Always freeFree
  • Cloud AI Copilot$100 a month
  • Incident Response$200 a month
  • WorkflowsPrice not published

Kestrel pricing →

In their own words

K8sGPT

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.

Visit k8sgpt.ai

Kestrel

Kestrel uses AI agents to automate incident response, cloud provisioning, CI/CD, security, and developer requests for platform engineering. Teams can build workflows with natural language, a visual editor, the CLI, Python SDK, or MCP. After configuration, workflows execute their defined code without a model in the runtime loop. Kestrel offers more than 40 integrations, plus custom HTTP APIs and webhook triggers. It detects Kubernetes, cloud infrastructure, and application incidents, including CrashLoopBackOff, OOMKilled, failed rollouts, IAM changes, and cost anomalies. Deployment options include cloud and self-hosted software, including air-gapped environments on AWS, GCP, Azure, and OCI. Security controls include SAML/OIDC SSO, MFA, workflow-level RBAC, approval gates, and immutable audit logs. Kestrel says tenant data is isolated, customer data is not used to train AI models, and integrations are read-only by default. Its 14-day trial needs no credit card and includes up to 100 workflow executions per day, one Incident Response unit, and up to 10 Cloud AI Copilot chats per day. An always-free plan is listed; Cloud AI Copilot is $100 a month and Incident Response is $200 a month.

Visit usekestrel.ai