Let agents curate your Linkhut library
QX captures, tags and organizes every link worth keeping—so your team builds a clean reference library without ever stopping to file a bookmark.
Stop losing useful links in Slack threads, browser tabs and forgotten docs. Let an agent build the library for you.
Every link, filed automatically
When a teammate drops a useful URL in chat or email, an agent grabs it, writes a clean title and notes, tags it correctly, and saves it to Linkhut—no manual filing.
Tags that stay tidy
An agent audits your bookmarks, merges duplicate tags, fixes inconsistent labels, and rewrites vague titles—so the library stays clean as it grows from dozens to thousands.
Answers from your saved knowledge
Ask a question and the agent searches your bookmarks, pulls the relevant links, and synthesises an answer with sources—turning a pile of URLs into instant team knowledge.
Linkhut
Real workflows, built for your team
Build complex workflows in minutes that chain Linkhut together with the rest of your stack. Trigger them on specific events, on schedule, or on demand.
Research: Auto-file every link shared in Slack
Link shared in #research
Triggered in Slack
Visit the page and summarise
Agent step
Classify and pick tags
Agent step
Save bookmark with notes
in Linkhut
Reply with the saved link
Confirm in Slack
QX agents can save bookmarks, tag them, retrieve your library—and a lot more
About Linkhut
Linkhut is a minimalist, open bookmarking service for saving, tagging and sharing links across a team. Its clean API and lightweight tag-based model make it well-suited to automation—agents can quickly add, retrieve and tidy bookmarks, turning Linkhut into a living, searchable knowledge base.
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 Linkhut working inside your stack
Want an AI co-worker that turns every useful link your team finds into an organized library? Book a demo call to discuss your use cases, or get started for free.
Book a demo
