Dagger

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Develop your CI/CD pipelines as code and run them anywhere

Winter 2019Founded 201822 peopleSan Francisco, CA, USA; London, England, United Kingdom; Seattle, WA, USA; Portland, OR, USA; Boulder, CO, USA; Lyon, Auvergne-Rhône-Alpes, France; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Vancouver, WA, USA; Montevideo, Montevideo Department, Uruguay; Ponta Delgada, Azores, Portugal; Remote

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About

Dagger is a programmable CI/CD engine that runs your pipelines in containers. Develop your pipelines as code, in the same programming language as your application. Choose your SDK and start coding! Dagger executes your pipelines entirely as standard OCI containers. This has several benefits: - Instant local testing - Portability: the same pipeline can run on your local machine, a CI runner, a dedicated server, or any container hosting service. - Superior caching: every operation is cached by default, and caching works the same everywhere - Compatibility with the Docker ecosystem: if it runs in a container, you can add it to your pipeline. - Cross-language instrumentation: teams can use each other's tools without learning each other's language.

From their website

as of Jun 7, 2026dagger.io ↗

SaaSSubscription · Plans include Free for individuals, Team at $50 per month for up to 10 users, and Enterprise (custom). Trial periods are mentioned; specific feature access varies by plan.

Dagger offers a programmable platform to build, test, and deploy software across local, CI, and cloud environments. It emphasizes repeatability, containerized execution, and observable delivery workflows, with multi-language SDKs and a local-first approach built for modern test orchestration.

Dagger provides a runtime, system API, and SDKs (8 languages) to orchestrate end-to-end tests and delivery workflows as code. Workflows run in containers with just-in-time artifact and environment building, strong caching, and sandboxed functions. It supports local execution, CI servers, or cloud runs, with built-in tracing, logs, and metrics to debug workflows. The platform includes a REPL for interactive exploration and aims to replace shell scripts and proprietary YAML with a programmable, repeatable approach to test and delivery automation.

Who it’s for: Engineers and platform teams responsible for building, testing, and delivering software, especially those needing repeatable, observable, and scalable CI/CD and AI agent workflows.

Features

local-first execution
container-based tests and artifacts
just-in-time environment builds
granular cache control
observability: traces, logs, metrics
multilingual SDKs (8 languages)
interactive REPL

Hiring/traction mentioned via community resources and pricing pages; active product features and multiple deployment options imply ongoing development and adoption.