For AI agents: The documentation index is at https://docs.digitalocean.com/llms.txt. Markdown versions of pages use the same URL with index.html.md in place of the HTML page (for example, append index.html.md to the directory path instead of opening the HTML document).

QM is an open-source AI workspace that helps teams research, build, and automate work through a web interface and Slack. Each person gets a personal workspace, while shared channels and projects let teammates collaborate with an agent.

Deploy QM on DigitalOcean to run it on your own infrastructure, using your choice of supported models.

What you can do with QM

• Find answers: Search across connected documents, email, databases, and the web.
• Build internal tools: Create web apps and share them with the people who need them.
• Automate recurring work: Schedule tasks, monitor changes, and trigger workflows through webhooks.
• Move development forward: Work with repositories, run tests, open pull requests, and monitor CI.
• Collaborate with context: Maintain personal and shared memory, files, and reusable skills.

Built for teams

Administrators control available models, agent harnesses, permissions, and sharing policies. QM supports multiple harnesses, including Pi, OpenCode, Codex, and Claude Code.

This Droplet Comes ready to use

This Droplet runs QM’s web UI, admin console, and sign-in portal with a bundled Postgres database. Serverless Inference is connected on deployment with a model access key created and injected for you.

Software Included

This Marketplace listing does not include a detailed software list.

Creating an App using the Control Panel

Click the Deploy to DigitalOcean button to create a Droplet based on this 1-Click App. If you aren’t logged in, this link will prompt you to log in with your DigitalOcean account.

Creating an App using the API

In addition to creating a Droplet from the YC QM 1-Click App using the control panel, you can also use the DigitalOcean API. As an example, to create a 4GB YC QM Droplet in the SFO2 region, you can use the following curl command. You need to either save your API access token to an environment variable or substitute it in the command below.

curl -X POST -H 'Content-Type: application/json' \
         -H 'Authorization: Bearer '$TOKEN'' -d \
        '{"name":"choose_a_name","region":"sfo2","size":"s-2vcpu-4gb","image":"ycqm"}' \
        "https://api.digitalocean.com/v2/droplets"

Getting Started After Deploying YC QM

1. SSH into your Droplet: ssh root@your_server_ip

2. Complete the setup wizard, which runs automatically on first login:

   • Set your admin email and password.
   • Your DigitalOcean Personal Access Token (PAT) to deploy MARS Sandboxes. Link Here
   • If you did not select “Make it work on deployment” when creating your Droplet, provide A model provider API key from DigitalOcean, Anthropic, or OpenAI.

3. Open QM: Visit https://your_server_ip in your browser and sign in with the email and password you chose.

Note: Your browser may show a certificate warning on your first visit. The connection is encrypted, but your browser cannot verify the server’s identity. Confirm that the IP address matches your Droplet before proceeding.