Zelyq is an open-source developer platform that integrates AI development, secrets management, continuous integration and deployment pipelines, and release orchestration into a single workspace. It is designed to support the full lifecycle of software creation, from the initial code to a running application, while allowing teams to use their own AI models and run everything on their own infrastructure. The platform works with existing Git repositories, new projects, or pipelines that need a better home. The platform provides several core capabilities. Users can create applications or import an existing repository and work with an AI agent that inspects changes and produces diffs. Secrets and credentials can be stored once in a built-in vault and referenced across environments. Pipelines are repeatable and support stages for checks, builds, and promotions. Deployments target the user’s own hosts and include features such as protected environments, health checks before acceptance, approvals, live logs, and rollback history. The interface offers both a visual overview and a YAML editor for detailed configuration. Team collaboration is supported through shared projects, role-based access, and version history for secrets. Common use cases include setting up a repeatable release process, managing credentials for multiple environments, deploying AI applications with self-hosted models, and moving from a staging environment to production with environment-specific credentials, approvals, and health monitoring. The platform can be run locally or on infrastructure the user controls. It supports any OpenAI-compatible model endpoint, including models that the user hosts. Runners and deployments are also self-hosted. The source code is available for inspection and modification under its license. A demo is available with a free account, though it requires the user to provide their own model key.