Skip to content

little big brain

The RDF database on object storage: SPARQL, SHACL, and reasoning over immutable, time-travelable snapshots.

little big brain stores RDF facts as an append-only record in object storage and publishes immutable, query-ready snapshots from it. You query with SPARQL 1.1, validate writes with SHACL, declare meaning with OWL, and pin any query to any past version of the graph. The hosted SaaS needs one stack API key.

The documented surface today is the RDF core. Full-text and vector search are not documented yet.

Query & reason over a temporal graph

SPARQL 1.1, a structured SELECT/aggregate surface, and SHACL shapes over an append-only, snapshot-consistent graph, plus reasoning that derives facts you never wrote. See SPARQL & SHACL.

Load RDF at any scale

Import N-Triples, Turtle, N-Quads, or TriG over HTTP, split large line-oriented datasets into bounded chunks, or enqueue durable NDJSON jobs. See Load RDF data.

Reject bad writes with an explanation

SHACL validation returns structured violations: the focus node, the path, the offending value, and the rule. A client or an agent repairs the write instead of parsing an error string.

Replay the graph at any past date

Pin SPARQL to a retained published generation: a compliance viewer whose result sets carry an explicit watermark. See time-travel audit.

Isolate work on branches

Give each session or experiment its own branch. Validate it, then merge it back as one commit. See branch workspaces.

Query from your agent

The MCP server gives Claude, Cursor, and Codex typed SPARQL and graph tools against your stack, local or hosted. See the MCP server.