brain.graph.export() streams the WHOLE graph in one O(N+E) pass — node chunks
then edge chunks, async-iterable — the right primitive for visualizing all data
(vs. paging per node). Native snapshot-consistent graphCursor when present, else
a TS cursor walk over nouns + verbs. Building it surfaced two latent noun bugs,
both fixed here (each a correctness win beyond export):
- getNounsWithPagination IGNORED its cursor ('offset-based, cursor planned') —
the noun mirror of the verb bug fixed in the cursor-pagination commit. Latent
because the only multi-page consumer (aggregate backfill) uses one big page; a
small chunkSize needed page 2 and, trusting the returned-but-ignored nextCursor,
re-fetched page 0 forever (infinite loop). Ported the proven verb cursor:
opaque cn1:<shard>:<id> token, stable within-shard id order, resume-after,
O(N) at any chunk size. (Generalized verbIdFromVectorPath → idFromVectorPath.)
- hydrateNounWithMetadata DROPPED 'visibility' (noun mirror of the Fix#1 verb
hydration bug) — so getNouns-fed visibility filters saw nothing and leaked
system (VFS root) / internal nodes. Now hydrated.
- New: GraphApi.export + GraphExportOptions (chunkSize, includeInternal/System,
includeNodes/Edges). hydrateNativeSubgraph extracted + shared by subgraph+export.
Test: graph-export.test.ts — full-graph completeness incl. isolated nodes,
default-hides-internal, node/edge include toggles, chunkSize chunking (the
case that exposed the cursor hang). Full gate green.
