What is a knowledge graph API?

A knowledge graph API lets you store and query facts as a graph of entities and relationships using open standards. AINative Studio’s ZeroMemory projects your agent memory into a W3C RDF knowledge graph you can query with SPARQL 1.1, validate with SHACL, reason over with OWL, and dereference at stable IRIs — no separate graph database to run.

Can I query AI agent memory with SPARQL?

Yes. ZeroMemory exposes a read-only SPARQL 1.1 endpoint at /api/v1/public/memory/v2/graph/sparql. SELECT, ASK, and CONSTRUCT queries run against your namespace-scoped graph; writes (INSERT/DELETE) are rejected and results are row-capped, so it is safe to expose to agents.

What is a bi-temporal knowledge graph?

Bi-temporal means every fact carries validity time — when it was true in the world (via OWL-Time intervals) — alongside the transaction time it was recorded. ZeroMemory reifies each edge as an RDF statement with valid-from/valid-until and supersededBy links, so you can ask “what did the agent believe as of last Tuesday?” and get a correct answer instead of only the latest state.

Are the entity IRIs dereferenceable?

Yes. Every entity, class, and concept gets a stable IRI under https://memory.ainative.studio/{tenant}/{namespace}/{kind}/{local}. Resolving that IRI content-negotiates Turtle, JSON-LD, or Markdown — the Agentic Web on-ramp — so other agents and tools can follow links into your graph.

Do I need to run Neo4j or a separate graph database?

No. The knowledge graph is native to ZeroMemory — the same store that already does remember, recall, vectors, and embeddings. There is no separate cluster to provision, no ETL into a graph DB, and no second bill. Your memories become graph nodes as your agents write them.

The Agent Knowledge Graph

Your agent memory is a knowledge graph.

Name: AINative Studio
Price: 5 USD
Availability: InStock
Author: AINative Studio

Not a bolt-on. ZeroMemory projects everything your agents remember into a real W3C RDF knowledge graph — query it with SPARQL 1.1, validate with SHACL, reason with OWL, and follow every entity to a stable IRI that dereferences on the open web.

Start free Try SPARQL

A graph engine, not a graph file

Most “AI memory” is a pile of embeddings with a similarity search on top. That answers “what looks like this?” but not “what is true, since when, and how do we know?” ZeroMemory does both: vectors for recall, and a fully-typed knowledge graph for reasoning.

Because it's built on open standards — RDF, SPARQL, SHACL, OWL-Time, PROV-O, SKOS — your graph is portable and interoperable by construction. Export it as Vault-LD, round-trip it losslessly to Turtle, and hand any entity IRI to another agent that speaks linked data.

Standards, all the way down

SPARQL 1.1, read-only & safe

SELECT / ASK / CONSTRUCT against your namespace-scoped graph. Writes are rejected, results are row-capped — safe to hand directly to an agent.

SHACL validation

Auto-derive SHACL shapes from your ontology and validate data against them. Catch contradictions and malformed edges before they poison recall.

OWL reasoning

Materialize inferred triples (subclass, transitive, inverse) with OWL RL. Ask questions the raw data doesn’t state literally.

Bi-temporal edges

Every relationship carries OWL-Time validity intervals and supersededBy links. Query the graph as-of any point in time.

W3C PROV-O provenance

Each fact records where it came from and how it was derived — wasDerivedFrom, wasGeneratedBy, and a trust level. Auditable by construction.

Dereferenceable IRIs

Every entity resolves at memory.ainative.studio with content negotiation (Turtle / JSON-LD / Markdown). Linked data, not a walled garden.

Query your memory with SPARQL

A read-only SPARQL 1.1 endpoint, scoped to your namespace. Writes are rejected and results are row-capped, so it's safe to expose directly to an agent.

POST https://api.ainative.studio/api/v1/public/memory/v2/graph/sparql
Authorization: Bearer $TOKEN
Content-Type: application/json

{
  "query": "SELECT ?person ?role WHERE {
      ?person a mem:Person ;
              mem:hasRole ?role .
    } LIMIT 25"
}

Every entity has a real address

Entities, classes, and concepts get stable IRIs under memory.ainative.studio. Resolve one and it content-negotiates Turtle, JSON-LD, or Markdown — the on-ramp to the Agentic Web.

# IRI shape
https://memory.ainative.studio/{tenant}/{namespace}/{kind}/{local}

# Dereference your namespace as a data product (DPROD descriptor)
GET .../memory/v2/graph/vault-ld/dprod        -> text/turtle (dprod:DataProduct)

# Content-negotiated resolve
GET .../memory/v2/graph/vault-ld/resolve?format=turtle    -> text/turtle
GET .../memory/v2/graph/vault-ld/resolve?format=jsonld    -> application/ld+json
GET .../memory/v2/graph/vault-ld/resolve?format=markdown  -> text/markdown

A knowledge graph that writes itself.

Your agents write memories; ZeroMemory turns them into typed, temporal, queryable knowledge. Start your 7-day free trial.

Get started with ZeroDB