Use cases

The shapes of problem that keep turning up.

They have something in common: the interesting question spans relationships, and the number of databases involved should be a decision you get to make cheaply.

More generally

If the join is the point, model it as an edge.

Recommendation, fraud rings, entity resolution, access-path analysis, supply-chain dependencies, lineage — the same traversal shape recurs. What differs is how many graphs you want and how long each one lives.

Start now

~98.7%

token efficiency at 2,000 entities — see the footnotes above

Put your first graph up in a minute.

A free instance takes about a minute and no card. Write two MERGE statements, read them back, and you have a living graph — with provenance on every fact.

First-graph path

Live
  1. Create a free instance

    No card. Ready in about a minute.

  2. Connect your driver

    bolt+ssc:// URI into the driver you already use.

  3. Write two MERGEs

    That's the entire shape of agent memory.

  4. Point an agent at it

    One MCP config block. No integration code.