dagger/dagger

Health v2 · maintenance only

Adoption not part of the score

16203 stars · 914 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Dagger is a programmable automation engine for building, testing, and shipping software, replacing YAML pipelines with real code via SDKs in 8 languages. It runs pipelines as cached, sandboxed containerized DAGs locally, in CI, or in the cloud, with built-in OpenTelemetry tracing.

Use cases

• replace YAML CI pipelines with real code
• run the same build pipeline locally and in CI
• cache incremental builds and tests across runs
• run e2e tests with just-in-time service containers
• trace and debug CI pipeline failures with OpenTelemetry
• let AI agents run sandboxed checks in their dev loop
• orchestrate containers and secrets from Go, Python, or TypeScript

When to choose

• you want pipeline logic as typed, testable code instead of vendor-specific YAML
• you need identical behavior for builds on a laptop, CI server, and cloud
• slow or flaky CI is hurting your team and you want incremental caching and end-to-end tracing
• you want reusable, shareable pipeline modules across projects

When to avoid

• you need a fully managed turnkey CI with zero learning investment
• your team is small and happy with existing GitHub Actions/GitLab CI YAML
• you cannot rely on a Linux container runtime in your environment
• you need a stable 1.0 guarantee and cannot track a fast-moving beta API

Facets

application · maturity active

ci-cd deployment container-runtime developer-tools workflow-automation caching tracing secrets-management developer-tools cloud-computing windows go python rust jvm dotnet cli cloud ci-pipelines dag-execution-engine containerized-builds opentelemetry local-first-ci sdks reusable-modules ai-agents devops containers automation linux macos docker nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="dagger/dagger")