Dagger is an open-source, general-purpose composition engine for building, testing, and deploying containerized workflows for applications, such as CI/CD pipelines and AI agent orchestration, designed to replace complex, custom scripts.
Dagger supports multi-language development, including Go, Python, TypeScript, and Deno, and provides cross-language type-safe bindings and component interoperability.
Its core advantages are modularity, portability, and consistency. Workflows can run in any supported environment, leveraging automatic caching and state management to improve efficiency and observability.
Dagger is designed to integrate seamlessly with existing CI/CD systems, allowing Dagger workflows to be embedded as steps to leverage its portability and consistency.
Dagger can be used for AI agent orchestration, codified code evaluation, and parallel execution of coding agents, with deep LLM integration to simplify automating workflows.
Yes, Dagger is fully open source, hosted on GitHub. The community provides a module library (Daggerverse), detailed documentation, and quick-start guides.
Eraser is an AI-powered collaborative design platform for technical teams, specializing in generating smart diagrams and code-like documents to boost collaboration and the quality of system architecture design and technical documentation.
Dagster is a modern, open-source data orchestration platform that puts data assets at the core. It helps data engineers, scientists, and platform teams build, schedule, and monitor reliable data and AI pipelines. With a declarative programming model, powerful lineage visualization, and a refined developer experience, Dagster integrates seamlessly with your existing tech stack for ETL, MLOps, and complex data processing workloads.
