What Is an Agent Knowledge Graph?
A knowledge graph stores facts as entities and the relationships between them — organisations, agents, actions and the edges that connect them — rather than as free text. Agents use one because a relationship is directly queryable: "who authorised this", "what does this org own", "which agents act for this human". The agentic internet is itself a knowledge graph across organisations, which is why a claimed edge is weaker than one both parties declare.
Edges are evidence
In a cross-organisation graph, a one-directional claim ("I am this org’s subsidiary") is something one party asserts. An edge declared from both ends is a fact two independent domains agree on, and that is what a resolver treats as evidence. Building the graph is easy; making its edges trustworthy is the whole problem.
Questions
How is this different from a vector store?
A vector store finds similar text; a knowledge graph answers relational questions exactly. Many agent systems use both — vectors to find, a graph to reason.
Is the estate a knowledge graph?
Yes. The directory federates per-organisation fragments of nodes and edges into one graph a stranger can traverse and verify.
Where this lives in the estate
Flashy Network — the public face of the estate’s cross-org graph
Keep reading
By Michael Gord · published 2026-10-04 · part of the Agentic Encyclopedia. Dates are the day of publication; events are cited at their own dates.