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ontology

Build a verifiable knowledge graph for AI agents with typed entities, relations, and automated constraint validation for structured memory and shared state.

by oswalpalash
PDF & DocumentsProductivityAI PoweredAutomationDeveloper ToolSelf-Hosted

# ontology Build a verifiable knowledge graph for AI agents with typed entities, relations, and automated constraint validation for structured memory and shared state. The Ontology skill provides a typed vocabulary and constraint system for representing knowledge as a verifiable graph. It enables AI agents to maintain structured memory by creating and querying entities such as People, Projects, Tasks, and Events. By enforcing schema constraints, it ensures that agent memory remains consistent, linkable, and actionable across different tasks and skills. ## How It Works 1 Step 1 Create/Update Entities are added with specific types (e.g., Task, Person). 2 Step 2 Relate Links are created between entities (e.g., a Task 'belongs_to' a Project). 3 Step 3 Validate Every mutation is checked against constraints like required fields, enum values, and acyclic relationship rules. 4 Step 4 Query Agents can traverse the graph to find dependencies or retrieve context. ## Key Features - **Typed Knowledge Representation**: Use predefined types for Work, People, Time, and Resources to keep data structured. - **Automated Validation**: Enforce data integrity with property checks, cardinality rules, and dependency constraints. - **Graph Transformations**: Model multi-step plans as a sequence of validated graph operations. - **Cross-Skill State**: Allow different agent capabilities to share a single source of truth for entities and relationships. - **Append-Only History**: Preserves data history by merging changes instead of overwriting files. ## Requirements - **Local Workspace**: Requires permissions to create and manage files in the memory/ontology/ directory. ## Use Cases - **Structured Memory**: Use "Remember that..." triggers to store facts about people and projects in a queryable format. - **Dependency Tracking**: Visualize and query what tasks are blocking a specific project goal. - **Contextual Retrieval**: Ask "What do I know about X?" to get a full graph of related entities and metadata. - **Agent Coordination**: Use the ontology as a shared blackboard where one skill creates a 'Commitment' and another picks it up as a 'Task'. ## Installation Install via: `npx clawhub@latest install ontology`

Installation

1

Run in your terminal

npx clawhub@latest install ontology
2

Click the Install button at the top of this page for one-click setup