Webiny is an open-source, self-hosted headless CMS platform built on AWS serverless infrastructure that developers extend through TypeScript code rather than configuration.
The platform addresses the need for enterprise content management without vendor lock-in or server management overhead. It runs on Lambda, DynamoDB, S3, and CloudFront within your own AWS account, scaling automatically with infrastructure provisioned through infrastructure-as-code in a single deploy command. The core is a TypeScript framework with lifecycle hooks, dependency injection, and GraphQL schema extensions that allow developers to customize and extend the system programmatically. Beyond the headless CMS with custom content models and GraphQL API, Webiny includes a visual website builder with a Next.js SDK, digital asset management with CDN delivery, multi-step publishing workflows, and native multi-tenancy supporting hierarchical tenant structures and programmatic tenant management.
Webiny suits large organizations and teams already committed to AWS who need to manage substantial content at scale—the README notes production use by teams handling hundreds of millions of content records and thousands of editors. It is designed for developers who prefer writing code to clicking through UI configuration. The platform's white-label capabilities make it suitable for SaaS platforms embedding content management into their own products. Unlike closed CMS products, Webiny's framework-based approach means you own the infrastructure and can extend every layer; the README positions this as the defining difference from traditional CMS platforms.
The project maintains active CI/CD workflows and regular releases. Development activity shows consistent attention to the codebase with ongoing updates to the framework, infrastructure provisioning, and API layers. The inclusion of AI-assisted development via MCP server integration indicates the project is evolving to incorporate modern development tooling. The breadth of topics tracked—spanning serverless architecture, multi-tenancy, GraphQL, and AI-assisted development—reflects a project addressing multiple technical concerns simultaneously rather than a narrowly focused tool.
