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3D Knowledge Explorer

3D Knowledge Graph — domain spheres connected by typed ontology relations in a navigable force-directed layout

The 3D Knowledge Explorer gives you a visual, interactive map of your project's knowledge graph. Domain containers appear as glowing spheres in 3D space, connected by typed ontology relations that you can see, read, and explore.

It's a way to understand — at a glance — what your knowledge graph contains, how domains relate to each other, and what's inside each domain.

Opening the Explorer

Navigate to your project and click Knowledge Graph in the sidebar under Resources. The explorer is available on any project that has Long-Term Memory enabled.

The page header shows your graph's stats: total knowledge units, domain count, and relation count.

The Domain Graph

When the explorer loads, you see the domain-level view: every concept container in your knowledge graph rendered as a sphere. Larger spheres contain more knowledge units.

Spheres are connected by lines representing the typed relations between domains. Each line is labeled with the specific relation type — ComponentOf, Alternative, Specializes, and so on.

Relation Types

The edges follow the six categories from the classification ontology:

CategoryExamplesLine Style
HierarchicalGeneralizes, Specializes, PartOf, ComponentOf, AspectOfSolid
DidacticIsFormOf, IsMatterOfSolid
Determinacy & CausalCauseOf, Determines, BasisFor, PurposeOfSolid
TemporalTemporallyBefore, TemporallyAfterDashed
ContextContextOf, InBackgroundOf, InForegroundOfDashed
Associative SymmetricSimilar, Alternative, Analogous, ComplementaryDashed

A legend in the bottom-left corner shows these categories with their colors.

Expanding a Domain

Click any domain sphere to expand it. The domain's knowledge units appear as smaller spheres around the parent, connected by their inter-unit relations — the same typed edges from the ontology. Each unit is colored by its knowledge class:

ColorKnowledge ClassWhat it represents
Light indigoOrientationContext-setting, overviews, problem statements
Light violetExplanationDefinitions, theories, causal reasoning
IndigoActionProcedures, rules, checklists, strategies
VioletReferenceSources, archives, cross-references

Units participate in the same 3D force simulation as domain nodes — they spread out naturally based on their connections, just like the domains themselves.

Large Domains

Domains with more than 100 knowledge units show the first 100. This keeps the visualization responsive. To explore the full contents of a large domain, use the AI Assistant's QueryKnowledgeGraph tool which can navigate the complete graph.

Expand Limit

Up to two domains can be expanded at the same time. Opening a third automatically collapses the oldest expanded domain. This keeps the scene readable.

Click an already-expanded domain to collapse it manually.

Interacting with the Graph

Hover

Hover over any node to see details:

  • Domain nodes show the domain name and how many knowledge units it contains.
  • Unit nodes show the title, knowledge class, knowledge type, and a content preview.

Hovering also highlights the node's direct connections — connected nodes and edges stay bright while everything else dims, making it easy to trace relationships.

Camera Controls

  • Drag to orbit around the graph
  • Scroll to zoom in and out
  • Auto-rotate is on by default — the graph slowly rotates to give you a sense of the 3D structure

The floating toolbar in the top-right has two buttons:

ButtonAction
Search iconReset camera to the default position
Rotate iconToggle auto-rotation on/off

What You're Looking At

The 3D explorer is a direct visualization of the same knowledge graph your agents navigate with the QueryKnowledgeGraph tool. The domains you see are the concept containers the classification pipeline creates. The edges are the typed relations the pipeline extracts. The knowledge classes coloring the unit nodes are the same four classes the classification ontology defines.

This means what you see in the explorer is exactly what your agents work with — the same structure, the same relations, the same navigation paths. It's a window into your agents' long-term memory.