B.O.R.I.S. vs K8sGPT
B.O.R.I.S.
getboris.aiK8sGPT
k8sgpt.aiSide by side
| Figure | B.O.R.I.S. | K8sGPT |
|---|---|---|
| Price from | $500/mo | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · AI DevOps Assistants | 7.8 (#12) | 7.9 (#10) |
| Integrations | The pricing section lists AWS or GCP, GitHub or GitLab, MCP, and Slack; it describes a one-cloud and one-VCS base package. | Documented integrations include Prometheus, Trivy, Kyverno, KEDA, and AWS. |
| Support | The maker invites prospective customers to contact the team for questions, demos, or technical discussions. | The site points users to community office hours and Slack. |
Plans
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.