Knowledge Graph Memory Server
Related Servers
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
- AlicenseAqualityDmaintenanceAn improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.10191 npm889MIT
- AlicenseBqualityAmaintenanceA basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.9162,542 npm90,629-
- FlicenseAqualityDmaintenanceEnables 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.9-
- AlicenseNot gradedqualityCmaintenanceProvides persistent memory for AI tools by building a local knowledge graph from conversations, enabling cross-session recall and context awareness without cloud dependencies.9MIT
- AlicenseNot gradedqualityCmaintenanceA persistent memory system using a local knowledge graph that enables Claude to remember information about users across chats, with advanced search, graph traversal, and filtering capabilities for entities, relations, and observations.MIT
TDQS
Scored across 11 tools
Each tool has a clearly distinct purpose targeting specific operations on entities, relations, observations, or the graph as a whole. There is no overlap or ambiguity between tools like create_entities vs. update_entities or delete_observations vs. delete_entities.
All tools follow a consistent verb_noun pattern with snake_case throughout, such as create_entities, update_relations, and delete_observations. The naming is predictable and uniform across all 11 tools.
With 11 tools, this server is well-scoped for managing a knowledge graph, covering CRUD operations for entities, relations, and observations, plus graph-wide functions. Each tool earns its place without being excessive or insufficient.
The tool set provides complete CRUD/lifecycle coverage for the knowledge graph domain, including create, read, update, and delete for entities, relations, and observations, plus search and graph reading. There are no obvious gaps or dead ends for agent workflows.