More information on how to manage your qm agent

Source Code

<p>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.</p>
<p>Deploy QM on DigitalOcean to run it on your own infrastructure, using your choice of supported models.</p>
<h2 id="what-you-can-do-with-qm">What you can do with QM</h2>
<ul>
<li><strong>Find answers:</strong> Search across connected documents, email, databases, and the web.</li>
<li><strong>Build internal tools:</strong> Create web apps and share them with the people who need them.</li>
<li><strong>Automate recurring work:</strong> Schedule tasks, monitor changes, and trigger workflows through webhooks.</li>
<li><strong>Move development forward:</strong> Work with repositories, run tests, open pull requests, and monitor CI.</li>
<li><strong>Collaborate with context:</strong> Maintain personal and shared memory, files, and reusable skills.</li>
</ul>
<h2 id="built-for-teams">Built for teams</h2>
<p>Administrators control available models, agent harnesses, permissions, and sharing policies. QM supports multiple harnesses, including Pi, OpenCode, Codex, and Claude Code.</p>
<h2 id="this-droplet-comes-ready-to-use">This Droplet Comes ready to use</h2>
<p>This Droplet runs QM&#39;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.</p>

An AI workspace for your team, running on your infrastructure.

DigitalOcean

YC QM

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Description

Getting started after deploying YC QM

API Creation