ontology

You can structure agent memory by creating typed entities with specific properties and linking them using directed relations. The ontology approach validates required fields, relation types, and cardinality to keep shared state consistent.

Track task dependencies by creating task entities and linking them to projects or owners via directed relations. The graph validates acyclicity and event time ordering to prevent circular dependencies and ensure chronological accuracy.

Yes, the knowledge graph validation requires JSONL graph operations for create, query, relate, and validate workflows. Schema-backed constraint checks are applied before accepting any changes to the graph.

The best way to validate cross-skill state sharing is to use a typed entity graph that enforces schema-backed constraints. This checks forbidden properties, enums, and relation cardinality before changes are accepted, preventing state drift.

A limitation is the strict constraint checking, which blocks changes violating acyclicity or cardinality rules. Additionally, it requires YAML dependency setup and JSONL operations, meaning the graph must be structured rather than freeform.