Ontology KG

An AI agent manages project tasks, people, and deadlines with typed entities and relations. It tracks blockers and dependencies using acyclic constraints, enabling smart queries like 'What is blocking the release?'

An agent builds a structured memory of personal contacts, events, notes, and goals. Relations connect people to projects and events, making it easy to recall who attended a meeting or what tasks are pending.

An agent catalogs documents, messages, and notes with typed entities like Document, Note, and Person. Relations link authors to documents and topics, supporting queries like 'Find all documents by Alice on machine learning'.

An agent tracks interactions with clients and prospects using Person, Organization, and Account entities. Relations such as 'belongs_to' and 'contact_for' enable fast access to client history and account status.

An agent enforces constraints on entities like Credential (no secrets stored directly) and policies. Relations track policy applications and exceptions, with validation checks to ensure compliance.

Offer Ontology KG as a managed service with scalable storage and advanced querying. Revenue comes from monthly or annual subscriptions based on graph size and query volume.

Provide the core as open source, then sell commercial licenses with features like SQLite migration, advanced constraint rules, and premium support. Revenue from license sales and enterprise contracts.

License the ontology engine to AI agent platforms that need structured memory. Revenue per integration fee or royalty per agent deployment.