Deploy CrewAI

CrewAI is an open-source framework for building and orchestrating AI agents that work together as a team to accomplish complex tasks. Instead of relying on a single large language model prompt, CrewAI allows developers to create specialized agents with distinct roles, responsibilities, and goals. These agents can collaborate, delegate work, share information, and execute multi-step workflows autonomously.

Deploying a Quick Deploy App

Akamai Quick Deploy Apps let you easily deploy software on a Compute Instance using Cloud Manager. See Get Started with Quick Deploy Apps for complete steps.

1. Log in to Cloud Manager and select the Quick Deploy Apps link from the left navigation menu. This displays the Linode Create page with the Marketplace tab pre-selected.

2. Under the Select App section, select the app you would like to deploy.

3. Complete the form by following the steps and advice within the Creating a Compute Instance guide. Depending on the Quick Deploy App you selected, there may be additional configuration options available. See the Configuration Options section below for compatible distributions, recommended plans, and any additional configuration options available for this Quick Deploy App.

4. Click the Create Linode button. Once the Compute Instance has been provisioned and has fully powered on, wait for the software installation to complete. If the instance is powered off or restarted before this time, the software installation will likely fail.

To verify that the app has been fully installed, see Get Started with Akamai Quick Deploy Apps > Verify Installation. Once installed, follow the instructions within the Getting Started After Deployment section to access the application and start using it.

Configuration Options

• Supported distributions: Ubuntu 24.04 LTS
• Recommended plan: All plan types and sizes can be used.

CrewAI Options

Limited Sudo User

You need to fill out the following fields to automatically create a limited sudo user, with a strong generated password for your new Compute Instance. This account will be assigned to the sudo group, which provides elevated permissions when running commands with the sudo prefix.

• Limited sudo user: Enter your preferred username for the limited user. No Capital Letters, Spaces, or Special Characters.

  Locating The Generated Sudo Password

  A password is generated for the limited user and stored in a .credentials file in their home directory, along with application specific passwords. This can be viewed by running: cat /home/$USERNAME/.credentials

  For best results, add an account SSH key for the Cloud Manager user that is deploying the instance, and select that user as an authorized_user in the API or by selecting that option in Cloud Manager. Their SSH pubkey will be assigned to both root and the limited user.

• Disable root access over SSH: To block the root user from logging in over SSH, select Yes. You can still switch to the root user once logged in, and you can also log in as root through Lish.

  Accessing The Instance Without SSH

  If you disable root access for your deployment and do not provide a valid Account SSH Key assigned to the authorized_user, you will need to login as the root user via the Lish console and run cat /home/$USERNAME/.credentials to view the generated password for the limited user.

Getting Started after Deployment

Create Your First Crew

Once the deployment is complete, the crewai binary will be installed on the instance. This will allow you to create the first group of agents.

1. To get started, create an example crew called research.

crewai create crew research

This command will create a project scaffold with everything that you need to run your agents. To understand more about the project structure, please be sure to reference the CrewAI documentation.

1. Install the research crew. This will install the default crew of agents that comes with CrewAI.

cd research
crewai install --prerelease=allow

1. To run the agents, simply run the following command.

crewai run

Once the command above is executed, all of the agents and tasks will start running. On execution you will be able to see the agent’s reasoning and how they perform the tasks assigned to them.

The default crew for CrewAI allows a group of agents to perform research on AI trends for the year. A Markdown file is created highlighting the research in bullet form.

More Information

You may wish to consult the following resources for additional information on this topic. While these are provided in the hope that they will be useful, please note that we cannot vouch for the accuracy or timeliness of externally hosted materials.

• CrewAI
• CrewAI Documentation