Kelos: Orchestrating Autonomous AI Coding Agents on Kubernetes

From one-off prompts to continuous, infrastructure-native software agents Kelos on GitHub Kelos started from a simple idea: AI coding agents should not live only inside interactive terminals. They should be able to run continuously, react to real events, operate inside isolated environments, and participate in software delivery workflows the same way other production systems do. That is what Kelos is for: a Kubernetes-native framework for orchestrating autonomous AI coding agents. Today, most agent workflows still feel manual. You open a CLI, paste a prompt, wait for output, maybe review a branch, and then start over. That model is useful, but it starts to break down when you want agents to work in the background, respond automatically to GitHub issues, continue across multiple stages, or run safely at scale. Kelos treats agents less like chat sessions and more like infrastructure. Workflows are declared as Kubernetes resources, versioned as YAML, and run continuously by the cluster. A