Knowledge Graph Memory Server
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Alternatives to Knowledge Graph Memory Server
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Related Servers
- AlicenseBqualityFmaintenanceA persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.96MIT
- AlicenseNot gradedqualityDmaintenanceProvides persistent memory for Claude by implementing a local knowledge graph to store and retrieve entities, relations, and observations. This enables long-term information retention and personalization across different chat sessions.299,999 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to remember information about users across conversations by storing and retrieving data as entities, relations, and observations in a persistent local knowledge graph.299,999 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to remember information about users across chats using a persistent local knowledge graph that stores entities, relationships, and observations.299,999 npmMIT
- AlicenseAqualityDmaintenanceEnables Claude to maintain persistent memory across conversations using a local knowledge graph with fuzzy search capabilities, allowing it to remember and recall information about users, relationships, and context.9MIT
- FlicenseNot gradedqualityBmaintenanceEnables Claude to recall and query past conversations through a local knowledge graph and vector index, with tools for searching memory, retrieving related entities, and adding new memories.1-
TDQS
Scored across 9 tools
Each tool targets a distinct operation on a distinct object type (entities, relations, observations), and descriptions actively disambiguate (create_entities points to add_observations for existing entities). The only mild overlap is among the retrieval trio read_graph/search_nodes/open_nodes, though their query-vs-names-vs-full-graph semantics differ.
Names consistently use snake_case verb_noun form (create_entities, delete_relations, search_nodes, open_nodes). The only minor deviation is mixing 'create_' for entities/relations with 'add_' for observations, which is a small vocabulary inconsistency rather than a structural one.
Nine tools is well-scoped for a knowledge graph memory server, covering create/read/delete/search across the three graph primitives without redundancy. Each tool earns its place.
The surface covers creation, retrieval, deletion, and search for entities, relations, and observations. The main gap is the absence of true update operations (e.g. renaming an entity or editing an observation), which is only partially mitigated by delete-and-recreate or add_observations.