deployments and uses autonomous AI agents to trace failures across an organization’s service graph. KubeGraf unifies logs, metrics, cluster events, and deployment data to generate rapid root cause analysis and structured post-incident reports. Orkastor emphasizes a local-first, network-isolated deployment model, running all AI inference inside the customer’s environment. This approach is designed for teams that need automation and observability without relying on external SaaS endpoints or external large language model services.