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Run Pipelines from the Command Line


This tutorial teaches you the basics of using Dagger from the command line. You will learn how to:

  • Install the Dagger CLI
  • Create a shell script to build an application from a Git repository using the Dagger CLI


This tutorial assumes that:

  • You have a basic understanding of shell scripting with Bash. If not, read the Bash reference manual.
  • You have Bash installed in your development environment. Bash is available for Linux, Windows and macOS.
  • You have the jq JSON processor installed in your development environment. If not, download and install jq.
  • You have Docker installed and running on the host system. If not, install Docker.

Step 1: Install the Dagger CLI


The dagger CLI is available for installation on macOS, Linux, and Windows to run locally or in a CI environment.

Install the dagger CLI following the steps below.

We assume that you have Homebrew installed. If you do, you can install dagger with a single command:

brew install dagger/tap/dagger

This installs dagger in:

type dagger
# macOS ARM:
dagger is /opt/homebrew/bin/dagger
# macOS Intel:
dagger is /usr/local/bin/dagger

If you do not have Homebrew installed, or you want to install a specific version of dagger, you can run:

cd /usr/local
curl -L | DAGGER_VERSION=0.9.7 sh

./bin/dagger version
dagger 0.9.7 (GIT_SHA) darwin/arm64

If your user account doesn't have sufficient privileges to install in /usr/local and sudo is available, use the following command instead:

cd /usr/local
curl -L | DAGGER_VERSION=0.9.7 sudo sh

Step 2: Create a Dagger client in Bash

The Dagger CLI offers a dagger query sub-command, which provides an easy way to send API queries to the Dagger Engine from the command line.

To see this in action, create a new shell script named and add the following code to it:


alpine=$(dagger query <<EOF | jq -r .container.from.withExec.stdout
container {
from(address:"alpine:latest") {
withExec(args:["uname", "-nrio"]) {

echo $alpine

This script invokes the Dagger CLI's query sub-command and passes it a GraphQL API query. This query performs the following operations:

  • It requests the from field of Dagger's Container object type, passing it the address of a container image. To resolve this, Dagger will initialize a container using the specified image and return a Container object representing the alpine:latest container image.
  • Next, it requests the withExec field of the Container object from the previous step, passing the uname -a command to the field as an array of arguments. To resolve this, Dagger will return a Container object containing the execution plan.
  • Finally, it requests the stdout field of the Container object returned in the previous step. To resolve this, Dagger will execute the command and return a String containing the results.
  • The result of the query is returned as a JSON object. This object is processed with jq and the result string is printed to the console.

Add the executable bit to the shell script and then run the script by executing the commands below:

chmod +x ./
dagger run ./

The dagger run command executes the script in a Dagger session and displays live progress. On completion, the script outputs a string similar to the one below.

Linux buildkitsandbox 5.15.0-53-generic #59-Ubuntu SMP Mon Oct 17 18:53:30 UTC 2022 x86_64 Linux

Step 3: Build an application from a remote Git repository

Now that the shell script is functional, the next step is to flesh it out to actually build an application. This tutorial demonstrates the process by cloning the canonical Git repository for Go and building the "Hello, world" example program from it using the Dagger CLI.

Replace the file from the previous step with the version below (highlighted lines indicate changes):


# get Go examples source code repository
source=$(dagger query <<EOF | jq -r
git(url:"") {
branch(name:"master") {
tree {

# mount source code repository in golang container
# build Go binary
# export binary from container to host filesystem
build=$(dagger query <<EOF | jq -r .container.from.withDirectory.withWorkdir.withExec.file.export
container {
from(address:"golang:latest") {
withDirectory(path:"/src", directory:"$source") {
withWorkdir(path:"/src/hello") {
withExec(args:["go", "build", "-o", "dagger-builds-hello", "."]) {
file(path:"./dagger-builds-hello") {

# check build result and display message
if [ "$build" == "true" ]
echo "Build successful"
echo "Build unsuccessful"

This revision of the script contains two queries stitched together.

The first query:

  • requests the master branch of the Git source code repository (returned as a GitRef object);
  • requests the filesystem of that branch (returned as a Directory object);
  • requests the content-addressed identifier of that Directory (returned as a base64-encoded value and interpolated into the second query).

The second query:

  • initializes a new golang:latest container (returned as a Container object);
  • mounts the Directory from the first query within the container filesystem at the /src mount point (returned as a revised Container);
  • sets the working directory within the container to the mounted filesystem (returned as a revised Container);
  • requests execution of the go build command (returned as a revised Container containing the execution plan);
  • retrieves the build artifact (returned as a File);
  • writes the File from the container to the host as a binary file named dagger-builds-hello.

The return value of the final export field is a Boolean value indicating whether the file was successfully written to the host or not. This value is extracted from the GraphQL API response document using jq and evaluated with Bash.

Run the shell script by executing the command below:

dagger run ./

As described above, the script retrieves the source code repository, mounts and builds it in a container, and writes the resulting binary file to the host. You can follow along with the actions performed by the script using the live terminal output provided by the dagger run command.

At the end of the process, the built Go application is available in the working directory on the host, as shown below:

└── dagger-builds-hello


This tutorial introduced you to the Dagger CLI and its dagger query and dagger run sub-commands. It explained how to install the CLI and how to use it to execute Dagger GraphQL API queries. It also provided a working example of how to run a Dagger pipeline from the command line using a Bash shell script.

Use the API Reference and the CLI Reference to learn more about the Dagger GraphQL API and the Dagger CLI respectively.