AI Datastore.

The datastore layer for AI workloads on Origon AI Cloud — one engine for objects, knowledge graph, vector search, full-text retrieval, sessions, lineage, and persistent memory.

S3-compatible object API

Use existing S3 tools and SDKs without changing application code.

Standard APIs

REST and SDK access without a proprietary client.

MCP-native agent access

Agents read and write through MCP.

Full IAM

Fine-grained identity, roles, and access policies.

Artifact storage

Store model outputs, files, and build artifacts.

Session workspaces

Isolated workspaces for each agent session.

Retrieval that stays attached to the data.

Knowledge graph

HNSW vector search

BM25 full-text retrieval

Multi-signal ranking

Persistent memory across sessions

Lineage and audit trail

One datastore across the runtime.

Agents and applications use the same datastore for artifact storage, enterprise knowledge, retrieval, session state, and memory. Knowledge access is logged and traceable. The graph is derived from object and session content, so memory and retrieval stay attached to the underlying data instead of living in a separate sidecar.

Agentic Workflows
Objects
Knowledge Graph
Vector Search
Full-text Search
Persistent Memory
Audit Trail

Durable, clustered, observable.

Custom LSM metadata engine

Erasure-coded durability

Multi-node clustering over QUIC

Cluster replication

Store, index, and retrieve at inference speed.

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