Using the knowledge graph

Every [[wikilink]] you write in OriginText is not just a navigation shortcut — it is a data point in a graph that the app maintains automatically. The knowledge graph is a visual representation of your entire workspace built from those links. No tagging, no folder taxonomy, no extra work needed: write links, and the graph updates.

How the graph is built

Each note is a node. Each wikilink from note A to note B is a directed edge from A to B. OriginText also records the reverse connection as a backlink, but in the graph both the forward and back connection contribute to how strongly two nodes are drawn together. The layout algorithm is force-directed: nodes push each other apart while edges pull linked nodes closer together, so tightly connected clusters of notes naturally bunch up and loosely related notes drift to the periphery.

The graph recomputes as you write — add a new link and the layout adjusts in real time.

Navigating with the graph

Click any node to open that note in the editor. The graph is not just a decorative overview; it is a navigation surface. When you spot a cluster you haven't visited in a while, clicking through its nodes is a fast way to rediscover related material.

Hovering over a node shows its title. Nodes that the currently open note links to are highlighted, making it easy to see your current context inside the broader web of notes.

Orphans

An orphan is a note that nothing else links to — no other note points a wikilink at it. (A note can still link out to others and count as an orphan, as long as nothing links back.) The graph is one of the fastest ways to spot them: a note with no links at all floats away from every cluster as an isolated node.

Orphans are not necessarily a problem; some notes are intentionally self-contained. But an orphan you didn't mean to isolate is a signal that you forgot to link it to related ideas. The graph makes those gaps visible.

Tips

• Zoom and pan with the scroll wheel and by dragging the background, so you can explore large workspaces without nodes overlapping.
• Dense workspaces with hundreds of notes can produce a busy graph — if the layout feels crowded, look for the largest, most-linked nodes first; they are usually your main topic hubs.
• A note that many others link to but links to very few things itself often turns out to be a key concept worth expanding into a more developed note.