About this project
Sealos is an AI-native cloud operating system built on Kubernetes, positioned as a single platform covering the application lifecycle from cloud-based development through production deployment and ongoing operations. The README describes it as suited to AI applications, SaaS platforms, managed databases, and microservice architectures.
Key capabilities described in the README:
- Integrated cloud IDEs: DevBox provides zero-setup, collaborative development environments in the cloud, with support for multiple languages and frameworks and access from IDEs such as VSCode and Cursor. The stated goal is to remove local environment inconsistencies.
- Managed databases and storage: production-ready PostgreSQL, MySQL, MongoDB, and Redis, plus built-in S3-compatible object storage.
- App Store / App Launchpad: one-click deployment of complex applications, with Docker images deployed as Kubernetes Deployments and exposed via Ingress, avoiding manual YAML and orchestration work.
- Full Kubernetes power: Kubernetes-native from the start, exposing cluster capabilities without requiring users to manage the underlying complexity directly.
- Enterprise multi-tenancy: workspace-based isolation with granular RBAC and per-workspace resource quotas for secure collaboration.
- AI-native infrastructure: the README states users can build and scale workloads by describing them, and the repository description mentions deploying projects from GitHub or an AI coding agent and keeping them running with AI-powered operations.
Getting started flows documented in the README include creating a development environment through Sealos Devbox, provisioning a database and viewing its access details, and deploying a Docker image through App Launchpad and accessing the resulting service.
Community and project information: the project links to its website, documentation, Discord server, X/Twitter account, and GitHub Issues for bug reports and feature requests. A public roadmap is maintained via a GitHub project board. Contribution and development guides are provided in the repository.
Related projects mentioned: FastGPT, described as an open-source AI knowledge base platform with data processing, model invocation, RAG retrieval, and visual AI workflows; and Buildah, whose functionality is used in Sealos 4.0 to keep cluster images compatible with the OCI standard.
Licensing: Sealos uses a custom "Sealos Sustainable Use License" rather than a standard open-source license. The README states it permits internal business use and personal non-commercial use, but does not permit providing cloud services to third parties, and directs users to review the full license terms before use. Contributions are subject to a Contributor License Agreement and license change terms.
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