A
licenseNot graded
qualityD
maintenanceEnables Claude to remember information about users across chats using a persistent local knowledge graph that stores entities, relationships, and observations.
114,646 npm
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Fuzzy Memory MCP Server
by flrngel
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- 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.114,646 npm-
- 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.-
- AlicenseBqualityFmaintenanceA persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.96MIT
- 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
- AlicenseBqualityAmaintenanceA basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.9114,646 npm90,569-
TDQS
A3.5/5.0
Scored across 9 tools
Disambiguation5/5
Each tool has a clearly distinct purpose targeting specific operations on the knowledge graph. For example, add_observations vs. delete_observations handle different lifecycle stages, while open_nodes and search_nodes serve distinct access patterns. There is no significant overlap that would cause agent misselection.
Naming Consistency5/5
All tools follow a consistent verb_noun naming pattern using snake_case, such as create_entities, delete_relations, and search_nodes. The naming is predictable and readable throughout the set, with no deviations in style or convention.
Tool Count5/5
With 9 tools, the server is well-scoped for managing a knowledge graph, covering core operations like creation, deletion, reading, and searching. Each tool earns its place without being overly sparse or bloated, fitting typical expectations for this domain.
Completeness4/5
The tool set provides strong coverage for CRUD operations on entities, relations, and observations, along with search and read capabilities. A minor gap exists in update operations (e.g., no update_entities or update_relations), but agents can work around this by deleting and recreating as needed.
Maintenance
ActivityInactive
ResponsivenessNo issues