knowmind
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TDQS
Scored across 13 tools
Each tool has a clearly distinct purpose: recall vs recall_at_time, store_memory vs upload_document, link vs unlink, and entity vs schema are all separated with explicit use-case guidance. There is no real risk of an agent picking the wrong tool for a given action.
Most tools follow a knowmind_<verb>_<object> pattern such as store_memory, upload_document, update_fact, and list_relations. Some tools are bare nouns or verbs (stats, health, entity, schema, recall, link, unlink), but the shared prefix and snake_case style keep the overall set predictable.
13 tools is well within the ideal range for a knowledge-graph memory server. Each tool covers a distinct part of the workflow: ingestion, retrieval, fact supersession, graph construction, schema inspection, health checks, and statistics.
The core write/read/update graph workflows are well covered, including storing memories, uploading documents, recalling current and historical facts, and managing entities and relations. The main gap is the lack of explicit delete operations for memories, documents, or entities, though supersede, upsert, and unlink provide reasonable workarounds and deletion may be intentionally excluded for auditability.