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The Algorithmia CLI is a cross-platform tool for interfacing with algorithms and the Algorithmia Data API.

This guide will cover:

Check out the tool in use in this short demo video (click to watch on YouTube): Example CLI Usage

Installing the Algorithmia CLI

The latest releases & changelog can be found here.

Linux and OSX

Install is by running:

curl -sSLf | sh

On some linux variants, you may need to preinstall curl, file, and git via a command such as:

apt install curl file git


Download and extract the latest Windows x86_64 zip file. We recommend putting it within your PATH.

If needed, you can also find both MSVC and GNU builds for x86 and x86_64 on the release page.

Installation note: Python environment variable

If you’ll be running Python algos, also set the version via export LANGUAGE_VERSION=python2 or export LANGUAGE_VERSION=python3

Configure Authentication

In order to make calls with the CLI, you’ll need to configure the authentication with an API key. If you don’t already have an API key, get started by signing up for an account at Once you’ve completed the sign up process, copy the API key from your account dashboard.

Begin the configuration process by running the command algo auth. You will see an interactive prompt to guide you through setting up a default profile:

$ algo auth
Configuring authentication for 'default' profile
Enter API Endpoint []: (press Enter)
Enter API Key (prefixed with 'sim'):
Profile is ready to use. Test with 'algo ls'

See Using multiple profiles for instructions on how to set authenticate and use more than one profile with the Algorithmia CLI tool.


To call an algorithm from the CLI, use the command syntax: algo run, followed by the algorithm’s username and algorithm name, the data options, and finally the input. Here is a basic example calling the Factor algorithm:

$ algo run kenny/factor -d 19635

Add the option --response-body to see the full JSON response:

$ algo run kenny/factor -d 19635 --response-body
{ "result": [3,5,7,11,17],
  "metadata": { "content_type":"json", "duration":0.001427314} }

Run algo run --help to see more command options or view the following Options section.


Input Data Options

There are several options for specifying the type and source of input data. The Algorithmia CLI supports JSON, text, and binary data, as well as an option to auto-detect the data type.

Option Flag Description
-d, --data If the data parses as JSON, assume JSON, else if the data is valid UTF-8, assume text, else assume binary
-D, --data-file Same as –data, but the input data is read from a file

You may also explictly specify the input type as text (-t/-T), json (-j/-J), or binary (-b/-B) instead of using the auto-detection (-d/-D).

Output Options

The algorithm result is printed to STDOUT by default. Additional notices may be printed to STDERR. If you’d like to output the result to a file, use the output option flag followed by a filename:

$ algo run kenny/factor -d 17 --output results.txt
Option Flag Description
--debug Print algorithm’s STDOUT (author-only)
--response-body Print HTTP response body (replaces result)
--response Print full HTTP response including headers (replaces result)
-s, --silence Suppress any output not explicitly requested (except result)
-o, --output Print result to a file

Other Options

Option Flag Description
--timeout Sets algorithm timeout


$ algo kenny/factor/0.1.0 -t '79'                   Run algorithm with specified version & data input as text
$ algo anowell/Dijkstra -J routes.json              Run algorithm with file input
$ algo anowell/Dijkstra -J - < routes.json          Same as above but using STDIN
$ algo opencv/SmartThumbnail -B in.png -o out.png   Runs algorithm with binary data input
$ algo run kenny/factor -d 17 --timeout 2           Runs algorithm with a timeout of 2 seconds

The Algorithmia Data API

Use the Algorithmia CLI to interact with the Algorithmia Data API. You can use the CLI to create and manage your data directories.

Data commands include:

Command Description
ls List contents of a data directory
mkdir Create a data directory
rmdir Delete a data directory
rm Remove a file from a data directory
cp Copy file(s) to or from a data directory
cat Concatenate & print file(s) in a directory

Examples of the Algorithmia Data API usage:

Create a data directory:

$ algo mkdir .my/cuteAnimals
Created directory data://.my/cuteAnimals

Copy a file from your local directory to the new data directory:

$ algo cp chubby_kittens.jpg data://.my/cuteAnimals
Uploaded data://.my/cuteAnimals/chubby_kittens.jpg

Using multiple profiles

Add additional profiles

With the Algorithmia CLI, you can configure multiple custom profiles to use. To add a new profile, you will run through the same interactive prompt–simply add a profile name to the command to add a new profile.

$ algo auth --profile second_user
Configuring authentication for 'second_user' profile
Enter API Endpoint []: (press Enter)
Enter API Key (prefixed with 'sim'):
Profile is ready to use. Test with 'algo ls --profile second_user'

Now you may use algo ls --profile second_user to list files in your second_user account. For more information, see the auth command help with algo auth --help.

Using profiles in commands

When running commands, the Algorithmia CLI will use the default profile unless otherwise specified with the --profile <profile> option. See the following example:

$ algo run kenny/factor -d 17 --profile second_user