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Recall the k most-similar memory cells to a query at layer L0, scoped to the caller. The server embeds the query text and returns distance-ranked node ids, nearest first. Dispatches to the recall internal service method. For an explicit semantic layer, use query instead.

Parameters

Returns

Returned as the structuredContent payload. Results are ordered nearest first (smallest distance).
Over MCP, recall returns only {node_id, distance} pairs — not hydrated cell content. To read a cell’s content, use a hydrating surface such as the REST API, which returns full nodes.

Example

Request:
Response:

Annotations

The tool’s MCP behaviour hints, as emitted in tools/list (advisory display metadata — see the annotations contract): A pure vector read — writes nothing.
  • query for layered search across L0/L1/L2.
  • The HNSW mesh for how nearest-neighbour search works.