The NetworkKnowledge Graph
Knowledge Graph
Graph-native data, identity, and relationship modeling across members, circles, entities, and Fixies.
Everything is a network, but raw connectivity is not enough. The ƒxyz Knowledge Graph turns people, organizations, circles, assets, identities, and system events into a typed, queryable graph.
What The Graph Actually Models
The current graph layer is centered on:
- members
- personas
- circles
- legal entities
- roles and rites
- Fixies and AI context
- token and financial relationships
- regulatory and jurisdictional metadata
Core Stack
| Layer | Role |
|---|---|
| Neo4j | Graph storage, querying, and relationship traversal |
| FIBO | Financial ontology foundation |
| ƒxyz extensions | Project-specific classes for membership, governance, and agent context |
| GraphQL + REST | Access surfaces for app and service flows |
| Graph explorer | Reader-facing graph interaction in the app |
Why This Matters
The graph is not a side feature. It is the connective tissue between:
- profile and membership state
- circles and governance
- legal entities and compliance
- market and route intelligence
- AI agent memory and context
App Surfaces
The graph is exposed through:
/graphfor the standard explorer/graph?mode=advancedfor advanced graph/cartography mode- graph-linked panels across profile, circles, legal entities, and markets
Data Model Direction
The graph moves the system from loose records to typed relationships:
- network + metadata = graph
- graph + ontology = structured information
- structured information + tools = operational intelligence