crown.upsert(entity=Campaign, id=cmp_4f2a)
↳ ontology.validate(type=Campaign) ok
↳ vector.embed(field=description) 768-d
↳ atlas.commit(table=campaign) ok
↳ knox.audit.append(0x4c12...)
↳ crown.link(cmp_4f2a → audience_a91)
crown.upsert(entity=Campaign, id=cmp_4f2a)
↳ ontology.validate(type=Campaign) ok
↳ vector.embed(field=description) 768-d
↳ atlas.commit(table=campaign) ok
↳ knox.audit.append(0x4c12...)
↳ crown.link(cmp_4f2a → audience_a91)
crown.upsert(entity=Campaign, id=cmp_4f2a)
↳ ontology.validate(type=Campaign) ok
↳ vector.embed(field=description) 768-d
↳ atlas.commit(table=campaign) ok
↳ knox.audit.append(0x4c12...)
↳ crown.link(cmp_4f2a → audience_a91)
crown.upsert(entity=Campaign, id=cmp_4f2a)
↳ ontology.validate(type=Campaign) ok
↳ vector.embed(field=description) 768-d
↳ atlas.commit(table=campaign) ok
↳ knox.audit.append(0x4c12...)
↳ crown.link(cmp_4f2a → audience_a91)
crown.upsert(entity=Campaign, id=cmp_4f2a)
↳ ontology.validate(type=Campaign) ok
↳ vector.embed(field=description) 768-d
↳ atlas.commit(table=campaign) ok
↳ knox.audit.append(0x4c12...)
↳ crown.link(cmp_4f2a → audience_a91)
crown.upsert(entity=Campaign, id=cmp_4f2a)
↳ ontology.validate(type=Campaign) ok
↳ vector.embed(field=description) 768-d
↳ atlas.commit(table=campaign) ok
↳ knox.audit.append(0x4c12...)
↳ crown.link(cmp_4f2a → audience_a91)

INSTITUTIONALMEMORY · ONTOLOGY

MILLIONSOF ENTITIES

GRAPH-NATIVEWITH VECTOR RETRIEVAL

CROWN

Institutional memory and ontology. Every interaction captured, every decision recallable.

SCROLL

CROWN · /0.2

Every Interaction. Every Decision. Every Insight. Captured.

Crown is CASTLE's institutional memory. Built on Qdrant vector search with Nomic embeddings, Crown creates a continuously improving knowledge base from every AI interaction across your organization.

Semantic Search Search across all institutional knowledge using natural language. Qdrant vector similarity surfaces the most relevant knowledge in <50ms.
Bidirectional Linking Related knowledge surfaces automatically. Every artifact linked to the network of concepts it connects to.
Automatic Capture Every Echo inference, every tool execution, every user interaction automatically indexed and stored.
Version Control Version control for all knowledge artifacts. Full history, diffable, auditable.
Compliance Export Export for compliance and audit. Every decision traceable to the knowledge that informed it.

How Crown Works

Platform Specifications

01 — Capture

Capture Layer

Every Echo inference, every tool execution, every user interaction → automatically indexed and stored in Qdrant vectors.

02 — Knowledge

Knowledge Layer

Vector embeddings create semantic connections. Related knowledge surfaces automatically through bidirectional linking and discovery.

03 — Retrieval

Retrieval Layer

Query in natural language. Crown returns the most relevant institutional knowledge in <100ms through semantic similarity.

Vector Engine

Qdrant + Nomic

768-dimensional embeddings. Semantic similarity search. Bidirectional link graph maintained automatically on every write.

Integration with CASTLE

Echo Integration

Crown provides context for every inference. RAG (Retrieval-Augmented Generation) built into the stack. Every response informed by institutional knowledge.

Atlas Storage

Knowledge artifacts persisted in Canadian PostgreSQL with automatic replication. Your data never leaves your infrastructure.

Shield Access Control

Fine-grained permissions on knowledge retrieval. Role-based boundaries ensure sensitive artifacts stay private.

Lens Browser Integration

Web browsing data automatically indexed. Research becomes institutional memory. Every discovery retained.

Quick Start

Search and create knowledge artifacts with simple REST calls.

# Semantic search across all knowledge curl "https://<your-instance>/api/search?q=deployment+architecture" # Response { "results": [ { "path": "projects/castle-architecture", "title": "CASTLE Architecture Overview", "score": 0.94, "excerpt": "The deployment topology uses Canadian nodes..." }, { "path": "reference/deployment-patterns", "title": "Deployment Patterns", "score": 0.87, "excerpt": "Air-gapped deployment requires..." } ], "latency_ms": 23 }

# Create a new knowledge artifact curl -X PUT "https://<your-instance>/api/notes?path=projects/new-note" \ -H "Content-Type: application/json" \ -d '{ "content": "---\ntitle: New Note\ntags: [deployment, architecture]\n---\n# Content here\n\nYour institutional knowledge, automatically indexed and vector-embedded." }' # Response { "success": true, "path": "projects/new-note", "vectors_created": 3, "links_discovered": 2 }

Crown automatically generates vector embeddings via Nomic and creates bidirectional links to related knowledge on every write.

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