Project Title

dagger — Open-Source Runtime for Composable Workflows in AI and CI/CD

Overview

Dagger is an open-source runtime designed for composable workflows, offering repeatability, modularity, observability, and cross-platform support. It stands out with its universal type system, automatic artifact caching, and built-in observability, making it an excellent choice for complex systems like AI agents and CI/CD pipelines.

Key Features

Containerized Workflow Execution: Enables building reproducible workflows in any language with custom environments and parallel processing.
Universal Type System: Allows for type-safe connections between components from any language, easing integration across ecosystems.
Automatic Artifact Caching: Enhances workflow speed and reduces costs by caching immutable artifacts from operations.
Built-in Observability: Provides full visibility into operations with tracing, logs, and metrics for effective debugging and monitoring.

Use Cases

AI Agents: Utilizes Dagger for creating and managing AI workflows with native LLM integration and interactive terminal capabilities.
CI/CD Workflows: Employs Dagger for building and deploying containerized, composable operations that are reproducible and observable.
Cross-Platform Development: Leverages Dagger's universal type system to develop applications that can run across different platforms and tech stacks.

Advantages

Modularity and Composability: Easily combine and reuse components from different languages and environments.
Performance Optimization: Reduces workflow execution time and costs through automatic artifact caching.
Extensive Observability: Offers comprehensive insights into operations, aiding in debugging and performance tuning.

Limitations / Considerations

Learning Curve: May require an initial investment in learning the system, especially for complex workflows.
Documentation and Community Support: As an open-source project, the depth of documentation and community support can vary.

Apache Airflow: A platform to programmatically author, schedule, and monitor workflows, differing in its focus on workflow management rather than composable operations.
Tekton: A Kubernetes-native CI/CD pipeline framework, offering a different approach to containerized workflows compared to Dagger.
Prefect: A workflow management system that also focuses on composable workflows, but with a different set of features and integrations.

Basic Information

GitHub: https://github.com/dagger/dagger
Stars: 14,666
License: Unknown
Last Commit: 2025-09-11

📊 Project Information

Project Name: dagger
GitHub URL: https://github.com/dagger/dagger
Programming Language: Go
⭐ Stars: 14,666
🍴 Forks: 790
📅 Created: 2019-11-20
🔄 Last Updated: 2025-09-11

🏷️ Project Topics

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📚 Documentation

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dagger

Project Description