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---
layout: default
---
<div class="hero-band">
<div class="hero">
<div class="hero-inner">
<img src="{{ '/assets/images/archi_no_text.png' | relative_url }}" alt="Archi logo" class="hero-logo">
<div>
<h1>Archi</h1>
<p class="hero-sub">AI agent for CMS computing operations at CERN</p>
</div>
</div>
<p class="hero-desc">Operational knowledge at <a href="https://cms.cern" target="_blank" rel="noopener">CMS</a> is scattered across wikis, JIRA, Redmine, and runbooks. Archi pulls it together — an open-source agent built at MIT that answers operator questions with cited sources and verifiable context.</p>
<nav class="hero-nav">
<a href="https://archi-physics.github.io/archi/" target="_blank" rel="noopener">Documentation</a>
<a href="https://github.com/archi-physics/archi" target="_blank" rel="noopener">GitHub</a>
<a href="https://archi-physics.github.io/archi/quickstart/" target="_blank" rel="noopener">Quickstart</a>
</nav>
</div>
</div>
<div class="cols">
<section>
<h2>Deployed at CMS</h2>
<p>The <a href="https://cms.cern" target="_blank" rel="noopener">CMS experiment</a> operates one of the largest distributed computing infrastructures in science — thousands of physicists, hundreds of sites, millions of jobs per day. Archi is deployed as a prototype assistant for <a href="https://cms-computing.web.cern.ch" target="_blank" rel="noopener">Computing Operations</a>, answering operator questions grounded in internal documentation, JIRA tickets, and operational runbooks.</p>
<p>Additional instances serve <a href="https://submit.mit.edu" target="_blank" rel="noopener">SubMIT</a> at MIT, Data Quality Monitoring shifters, and heavy-ion analysis at <a href="https://www.fnal.gov" target="_blank" rel="noopener">Fermilab</a>.</p>
</section>
<section>
<h2>Architecture</h2>
<p>Archi ingests documentation, tickets, code, and web pages into a vector store, then uses a <a href="https://arxiv.org/abs/2210.03629" target="_blank" rel="noopener">ReAct</a>-style agent loop to retrieve relevant context and answer questions with cited sources. Tools let the agent search, fetch full documents, and query live APIs.</p>
<p>The system is model-agnostic (OpenAI, Anthropic, Gemini, or local models via Ollama) and ships as a single Docker deployment managed by a CLI. Interfaces include a chat app, Mattermost bot, email responder, and Grafana dashboard.</p>
</section>
</div>
<section class="news-section">
<h2>News</h2>
{% for post in site.posts limit:3 %}
<div class="news-row">
<time datetime="{{ post.date | date_to_xmlschema }}">{{ post.date | date: "%b %-d, %Y" }}</time>
<a href="{{ post.url | relative_url }}">{{ post.title }}</a>
</div>
{% endfor %}
<p class="news-more"><a href="{{ '/news/' | relative_url }}">All news →</a></p>
</section>
<hr class="section-rule">
<footer class="home-credit">
Developed by <a href="https://web.mit.edu/physics/people/faculty/paus_christoph.html" target="_blank" rel="noopener">Prof. Paus</a> (MIT Physics) and <a href="https://people.csail.mit.edu/kraska/" target="_blank" rel="noopener">Prof. Kraska</a> (MIT CSAIL) with collaborators at CERN, Fermilab, Brown, Harvard, and Chulalongkorn. Funded by the MIT Generative AI Impact Consortium.
</footer>