Every team's knowledge lives in too many places at once. A decision gets made in a Slack thread, documented in Notion, revised in a Google Doc, and referenced in a Jira ticket — and three weeks later nobody can find the thread that started it.

Headknot fixes that by treating your knowledge the way it actually behaves: as a living, connected graph rather than a pile of documents.

Connect, don't copy

You don't upload files into Headknot. You connect the tools you already use — Slack, Notion, Google Drive, GitHub, Jira, Confluence and more — and Headknot keeps a continuously updated understanding of what's in them.

New content is ingested automatically as it appears.
Entities, claims and relationships are extracted with LLMs.
Everything is linked into one graph, scoped to your workspace.

Ask, and get an actual answer

Once your tools are connected, you can ask questions in plain language:

"What did we decide about the pricing model, and who owned it?"

Instead of ten blue links, you get a synthesized answer with the reasoning and the sources it drew from — so you can trust it and dig deeper.

Why a graph?

Documents go stale. A graph evolves. Because Headknot models knowledge as time-indexed observations that roll up into entities and relationships, it can answer questions about how understanding changed over time, not just what a single document says today.

That's the foundation we're building on — and this blog is where we'll share what comes next.