Domain Catalog

All 22 built-in domains: entity types, agent tools, and sample CLI commands for each.

Create Context Graph ships with 22 built-in domains. Each domain includes a complete ontology with entity types, relationships, agent tools, demo scenarios, and pre-generated fixture data.

Run create-context-graph --list-domains to print all available domain IDs at any time.

All domains at a glance

Domain ID	Display name	Entity types	Agent tools
agent-memory	Agent Memory	11	7
conservation	Conservation	11	7
data-journalism	Data Journalism	11	7
digital-twin	Digital Twin	11	7
financial-services	Financial Services	10	7
gaming	Gaming	11	8
genai-llm-ops	GenAI & LLM Ops	11	7
gis-cartography	GIS & Cartography	11	7
golf-sports	Golf Sports	11	7
healthcare	Healthcare	12	7
hospitality	Hospitality	11	7
manufacturing	Manufacturing	11	7
oil-gas	Oil & Gas	11	7
personal-knowledge	Personal Knowledge	11	7
product-management	Product Management	12	7
real-estate	Real Estate	11	7
retail-ecommerce	Retail & E-Commerce	11	7
scientific-research	Scientific Research	11	7
software-engineering	Software Engineering	11	7
trip-planning	Trip Planning	11	7
vacation-industry	Vacation Industry	11	7
wildlife-management	Wildlife Management	11	7

Every domain includes all five base POLE+O types (Person, Organization, Location, Event, Object) plus domain-specific entity types. See the Ontology YAML Schema for details on how domains are defined.

Don’t see your industry? Use --custom-domain "your description" and the LLM will generate a complete ontology from scratch.

Domain details

Agent Memory — agent-memory

Tagline: AI-powered Agent Intelligence

Domain-specific entity types: Agent, Conversation, Entity, Memory, ToolCall (plus the 5 base POLE+O types — 11 total)

Sample question: “What does agent Alpha remember about the user’s project preferences?”

uvx create-context-graph --domain agent-memory --framework pydanticai --demo

Conservation — conservation

Tagline: AI-powered Conservation Intelligence

Domain-specific entity types: Site, Species, Program, Funding, Stakeholder (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all endangered species and the sites where they are protected.”

uvx create-context-graph --domain conservation --framework pydanticai --demo

Data Journalism — data-journalism

Tagline: AI-powered Investigative Intelligence

Domain-specific entity types: Source, Story, Dataset, Claim, Correction (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all active investigations and their current status.”

uvx create-context-graph --domain data-journalism --framework pydanticai --demo

Digital Twin — digital-twin

Tagline: AI-powered Digital Twin Intelligence

Domain-specific entity types: Asset, Sensor, Reading, Alert, MaintenanceRecord (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all assets currently in degraded status.”

uvx create-context-graph --domain digital-twin --framework pydanticai --demo

Financial Services — financial-services

Tagline: AI-powered Financial Intelligence

Domain-specific entity types: Account, Transaction, Decision, Policy, Security (plus the 5 base POLE+O types — 10 total)

Sample question: “Show me a summary of all client accounts and their current balances.”

uvx create-context-graph --domain financial-services --framework pydanticai --demo

Gaming — gaming

Tagline: AI-powered Game Intelligence

Domain-specific entity types: Player, Character, Item, Quest, Guild (plus the 5 base POLE+O types — 11 total, with 8 agent tools)

Sample question: “Show me the most active players in the NA region by play time.”

uvx create-context-graph --domain gaming --framework pydanticai --demo

GenAI & LLM Ops — genai-llm-ops

Tagline: AI-powered ML Operations Intelligence

Domain-specific entity types: Model, Experiment, Dataset, Prompt, Evaluation (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all models currently in production and their evaluation scores.”

uvx create-context-graph --domain genai-llm-ops --framework pydanticai --demo

GIS & Cartography — gis-cartography

Tagline: AI-powered Geospatial Intelligence

Domain-specific entity types: Feature, Layer, Survey, Coordinate, Boundary (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all surveys conducted in the Cedar Creek watershed.”

uvx create-context-graph --domain gis-cartography --framework pydanticai --demo

Golf Sports — golf-sports

Tagline: AI-powered Golf Intelligence

Domain-specific entity types: Course, Player, Round, Tournament, Handicap (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all rounds played by Tiger Woods this season.”

uvx create-context-graph --domain golf-sports --framework pydanticai --demo

Healthcare — healthcare

Tagline: AI-powered Clinical Intelligence

Domain-specific entity types: Patient, Provider, Diagnosis, Treatment, Encounter, Facility, Medication (plus the 5 base POLE+O types — 12 total)

Sample question: “Show me all patients with a chronic diagnosis.”

uvx create-context-graph --domain healthcare --framework pydanticai --demo

Healthcare is one of two domains with 12 entity types — two extra beyond the standard 11. The additional types are Facility and Medication, which are critical to modeling clinical workflows.

Hospitality — hospitality

Tagline: AI-powered Hospitality Intelligence

Domain-specific entity types: Hotel, Room, Reservation, Guest, Service (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all platinum guests arriving this week.”

uvx create-context-graph --domain hospitality --framework pydanticai --demo

Manufacturing — manufacturing

Tagline: AI-powered Manufacturing Intelligence

Domain-specific entity types: Machine, Part, WorkOrder, Supplier, QualityReport (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all active work orders sorted by priority.”

uvx create-context-graph --domain manufacturing --framework pydanticai --demo

Oil & Gas — oil-gas

Tagline: AI-powered Energy Intelligence

Domain-specific entity types: Well, Reservoir, Equipment, Inspection, Permit (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all producing wells sorted by daily production rate.”

uvx create-context-graph --domain oil-gas --framework pydanticai --demo

Personal Knowledge — personal-knowledge

Tagline: AI-powered Personal Knowledge Graph

Domain-specific entity types: Note, Contact, Project, Topic, Bookmark (plus the 5 base POLE+O types — 11 total)

Sample question: “What notes have I written about machine learning this month?”

uvx create-context-graph --domain personal-knowledge --framework pydanticai --demo

Product Management — product-management

Tagline: AI-powered Product Intelligence

Domain-specific entity types: Feature, Epic, UserPersona, Metric, Release (plus the 5 base POLE+O types — 12 total)

Sample question: “Show me all features planned for the Q2 release.”

uvx create-context-graph --domain product-management --framework pydanticai --demo

Product Management is one of two domains with 12 entity types — two extra beyond the standard 11.

Real Estate — real-estate

Tagline: AI-powered Real Estate Intelligence

Domain-specific entity types: Property, Listing, Agent, Transaction, Inspection (plus the 5 base POLE+O types — 11 total)

Sample question: “Find all active listings in the Downtown neighborhood under $500,000.”

uvx create-context-graph --domain real-estate --framework pydanticai --demo

Retail & E-Commerce — retail-ecommerce

Tagline: AI-powered Retail Intelligence

Domain-specific entity types: Customer, Product, Order, Review, Campaign (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me the top 10 VIP customers by lifetime value.”

uvx create-context-graph --domain retail-ecommerce --framework pydanticai --demo

Scientific Research — scientific-research

Tagline: AI-powered Research Intelligence

Domain-specific entity types: Researcher, Paper, Dataset, Experiment, Grant (plus the 5 base POLE+O types — 11 total)

Sample question: “Find the most cited papers in computational biology from the last 3 years.”

uvx create-context-graph --domain scientific-research --framework pydanticai --demo

Software Engineering — software-engineering

Tagline: AI-powered Software Intelligence

Domain-specific entity types: Repository, Issue, PullRequest, Deployment, Service (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all open pull requests across our repositories.”

uvx create-context-graph --domain software-engineering --framework pydanticai --demo

Trip Planning — trip-planning

Tagline: AI-powered Travel Intelligence

Domain-specific entity types: Destination, Hotel, Activity, Restaurant, Itinerary (plus the 5 base POLE+O types — 11 total)

Sample question: “Help me plan a 7-day trip to Japan for two people in spring.”

uvx create-context-graph --domain trip-planning --framework pydanticai --demo

Vacation Industry — vacation-industry

Tagline: AI-powered Vacation Intelligence

Domain-specific entity types: Resort, Booking, Guest, Activity, Season (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all bookings for the upcoming holiday season.”

uvx create-context-graph --domain vacation-industry --framework pydanticai --demo

Wildlife Management — wildlife-management

Tagline: AI-powered Conservation Intelligence

Domain-specific entity types: Species, Individual, Sighting, Habitat, Camera (plus the 5 base POLE+O types — 11 total)

Sample question: “Show me all recent sightings of endangered species in the Serengeti habitat.”

uvx create-context-graph --domain wildlife-management --framework pydanticai --demo

Base entity types

Every domain automatically inherits five base POLE+O entity types from _base.yaml. These are merged in by the ontology loader before domain-specific types are added.

Label	POLE type	Base properties
Person	PERSON	name, email, role, description
Organization	ORGANIZATION	name, description, industry
Location	LOCATION	name, address, latitude, longitude
Event	EVENT	name, date, description
Object	OBJECT	name, description

Three base relationships are also provided automatically:

• WORKS_FOR: Person → Organization
• LOCATED_AT: Organization → Location
• PARTICIPATED_IN: Person → Event

See Ontology YAML Schema for the full schema reference, or Framework Comparison to choose which agent framework to pair with your domain.