Let agents read any GitHub repo for you
QX taps DeepWiki to explore public repositories, answer deep technical questions, and surface what matters—so your team ships instead of spelunking through unfamiliar codebases.
Stop reading READMEs, grepping source trees, and reverse-engineering libraries you barely use. Hand it to an agent.
Learn any codebase in minutes
Point an agent at an unfamiliar repo and get a clean tour of its architecture, key modules, and conventions—condensed into a brief your team can actually act on.
Answers grounded in real code
Ask anything about a library's internals and the agent pulls back specific, cited answers from the actual docs and source—no more guessing or hallucinated APIs.
Vet a dependency before you adopt
Compare repos on maintenance health, architecture, and feature coverage in one pass—so technical decisions rest on evidence, not vibes from a homepage.
DeepWiki MCP
Real workflows, built for your team
Build complex workflows in minutes that chain DeepWiki together with the rest of your stack. Trigger them on specific events, on schedule, or on demand.
Engineering: Generate onboarding briefs for new dependencies
New dependency added to repo
Triggered in GitHub
Identify the upstream repo
Agent step
Read wiki structure & contents
in DeepWiki
Draft an onboarding brief
Agent step
File the brief in the wiki
in Notion
Share with the team
Alert via Slack
QX agents can ask questions, read docs, and map any GitHub repo's structure—grounded in real source
About DeepWiki MCP
DeepWiki is an AI-powered documentation layer for public GitHub repositories, generating structured wikis and answering deep questions about any open-source project. It requires no authentication, covers millions of repos, and gives agents reliable, citation-backed access to the world's open codebase.
About QX Labs
QX is an AI agent platform that helps you build, run and scale AI across your team in a few clicks. Create agents that connect to your data and 1,000+ apps, building institutional memory that gets sharper every run. Then delegate tasks to them from where you already work—Slack, Teams, WhatsApp or email.
See DeepWiki working inside your stack
Want an AI co-worker that reads any codebase for you? Book a demo call to walk through your use cases, or get started for free.
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