Create multiple new entities in the knowledge graph.

Each entity must have: name (str), entityType (str), observations (list[str]).

Create multiple new relations between entities in the knowledge graph.

Each relation must have: from (str), to (str), relationType (str).

Add new observations to existing entities in the knowledge graph.

Each item must have: entityName (str), contents (list[str]).

Delete multiple entities and their associated relations from the knowledge graph.

Delete specific observations from entities in the knowledge graph.

Each item must have: entityName (str), observations (list[str] — exact content match).

Delete multiple relations from the knowledge graph.

Each relation must have: from (str), to (str), relationType (str). If relationType is omitted, all relations between from and to are deleted.

Search for nodes in the knowledge graph.

Case-insensitive token match across entity names, types, and observation content. Returns matching entities with their observations.

Open specific nodes in the knowledge graph by their names.

Returns full entity details including all observations and timestamps.

Read the entire knowledge graph.

Returns all entities with observations and all relations. Note: loads the full graph into memory — may be large.

Traverse the graph from a starting node, returning all entities within N hops.

Args: start_node: Entity name to start from depth: Number of hops to traverse (default 1, max 3)

Return entities, relations, and observations created or updated in the last N hours.

Args: hours: Look-back window in hours (default 24, max 720)

Fuzzy search for entity names using trigram similarity.

Args: name: Name to search for (fuzzy matched) threshold: Minimum similarity score 0.0–1.0 (default 0.3)