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For developers and AI agents Private preview

A graph database your AI agent can use in a minute.

  1. Create a database
  2. Connect Claude to its MCP server
  3. Ask a question
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What you get

Managed Ladybug

The graph database formerly known as Kùzu, hosted for you, with daily backups and export at any time. Snapshots keep a copy apart from the database, to start a new one from.

Already on another graph database?

Connect your own Neo4j or Aura database and use it like a hosted one: the same endpoints, MCP server and chat. Connect your own Amazon Neptune cluster the same way. Or let MicroGraphs run a Neo4j Aura instance for you, on one bill. Or an Amazon Neptune cluster, with read replicas that scale with your reads.

An ontology, questions included

Design the ontology once: the node labels, relationship types and properties, and the business questions the graph answers. Version it, publish it, apply it to a database; then code and agents call a question by name.

Tune, monitor and scale

One database tested past 30,000 read queries a second. Watch each database's load, and let autoscaling add memory and instances as it grows and take them away as it eases. A load test runs your own queries at your own traffic on a copy, and says which configuration holds them. A slow query log keeps every query over your threshold, with the load of that moment.

Your graph on your website

Publish the graph behind a query or a business question on your own site. Style it in a designer, refresh it on a schedule, or answer each visitor live, in 2D or 3D.

See the whole graph

Every database draws a query's result as a graph, and lets you walk it node by node. A graph of millions of nodes is laid out once, near your database, then panned, zoomed and searched as one picture. Turn it around in 3D, or put nodes on a globe at their latitude, longitude and altitude. Plot nodes on their own values along axes. Lay them over the streets of OpenStreetMap.

See the pictures →

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