Knowledge Graph
The Knowledge Graph studio shows the connectome of your memory — every note as a node, and the typed links between them as edges you can see and follow. It's the map behind "how are these connected": the people, projects and notes in your world laid out as a network, including the ties the system noticed on its own and the natural themes it clusters your thinking into.
Your notes aren't a list — they're a graph. Every memory relates to the people, projects and other notes around it, with each relationship named. Seeing that structure directly is what turns a pile of notes into a map you can reason over: where the dense clusters are, what bridges two areas, which idea everything hangs off.
❋ The whole connectome
Every memory and the typed links between them, laid out to explore.
❋ Typed relationships
Edges are named — mitigates, depends-on, follows — not just "related".
❋ Ties it noticed
Learned co-activation links nobody drew, surfaced alongside the authored ones.
❋ Natural themes
The emergent clusters your notes fall into, rolled up as named groups.
What it is#
The Knowledge Graph is the visual form of the same typed graph that powers recall and "trace a connection". Where a search returns a list, the graph returns structure — the shape of what you know. It's the studio you open to understand your own thinking at a glance: how much of your attention a project is really absorbing, which person sits at the center of a web of commitments, where two threads quietly meet.
Navigating it#
The graph renders your memories as nodes and their relationships as edges, so you can see the whole network and move through it — following an edge from a note to the person it involves, from that person to the projects they lead, and on. It's the same connectome Quill traces when you ask "how are these connected", made visual so you can wander it yourself.
Links, authored & noticed#
Edges carry a type — an action that mitigates a risk, a note that follows another, a task that depends on a decision — so the graph encodes meaning, not just adjacency. And two kinds of edge coexist: the ones you authored (implied by how you wrote a note) and the ones the system noticed — memories it keeps recalling together even though nobody linked them. Seeing both is how the graph surfaces connections you didn't know you'd made.
Themes & clusters#
Zoom out and the graph resolves into communities — the natural clusters your notes fall into, detected from how densely they interlink and rolled up as named themes. It's the emergent structure of your attention: the handful of areas your thinking actually orbits, discovered from the graph rather than tagged by hand.