graphsub.com / wiki / graphsub-vs-neo4j

GraphSub vs Neo4j

GraphSub and Neo4j both use graph concepts, but GraphSub is positioned around agent memory, replayable workflows, and operational proof.

Category

Neo4j is a mature graph database platform with a large Cypher ecosystem. GraphSub targets graph-native agent workflows where memory, replay, and proof are first-class product surfaces.

Where Neo4j is strong

Neo4j has broad tooling, education, drivers, Aura, Graph Data Science, and enterprise adoption.

Where GraphSub is different

GraphSub emphasizes low-latency graph operations, hierarchical agent memory, workflow replay, source-linked outputs, and deployable capsules.

Code example

Dependency blast-radius querycypher

MATCH (s:Source {id: 'SOFR:2026-07-03'})
  -[:FEEDS]->(m:Model)
  -[:PRODUCES]->(o:Output)
WHERE o.status <> 'replayed'
RETURN
  o.id AS output,
  m.version AS model,
  shortestPath((s)-[*..4]->(o)) AS proof_path
ORDER BY o.priority DESC

Find downstream outputs that need replay after a source changes.

FAQ

Is GraphSub a Neo4j replacement?: GraphSub is not just a storage replacement. It is a control substrate for agent and operational workflows.
Can GraphSub explain agent behavior?: Yes. The product model centers on memory, tool traces, approvals, replay, and source-linked outputs.