Skip to main content
Glama
jmeyer1980

neurodivergent-memory

by jmeyer1980
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Local

Related Servers

Alternatives to neurodivergent-memory

No user-submitted related servers found.

    Related Servers

    • RAG Memory MCP

      ttommyth
      A
      license
      Not graded
      quality
      C
      maintenance
      An advanced MCP server providing RAG-enabled memory through a knowledge graph with vector search capabilities, enabling intelligent information storage, semantic retrieval, and document processing.
      14 npm
      47
      MIT

    • KG Memory

      belindamo
      F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that implements a heavily typed knowledge graph memory system with AI-powered entity and relation extraction, enabling structured knowledge storage and retrieval from unstructured text using predefined or custom ontologies.
      9
      -

    • Graph-Mem MCP

      Sathvik-1007
      A
      license
      Not graded
      quality
      A
      maintenance
      A universal MCP server providing persistent, structured memory through a knowledge graph with graph storage, semantic vector search, and multi-hop traversal for AI agents and IDEs.
      1
      MIT

    • ShelbyMCP

      Studio-Moser
      A
      license
      Not graded
      quality
      B
      maintenance
      Knowledge-graph memory server for MCP-compatible AI tools, providing persistent, connected memory with typed relationships and auto-consolidation.
      34 npm
      MIT

    • mem-graph

      GoVanAI
      A
      license
      Not graded
      quality
      A
      maintenance
      Graph-relational memory MCP server for persistent LLM memory, featuring wikilinks, BM25 auto-linking, spreading activation, and synaptic decay across five memory layers.
      MIT

    • knowledgeplane

      camplight
      F
      license
      Not graded
      quality
      C
      maintenance
      MCP server that gives AI agents and teams persistent, shared memory using a knowledge graph with vector embeddings, automatic consolidation of related facts, and hybrid search.
      3
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 18 tools

    Disambiguation4/5

    Tools have largely distinct purposes (CRUD, connections, search, stats, etc.), but some overlap exists between related_to and search_memories in terms of finding related memories; however, descriptions clarify the difference (ID-based vs. query-based). No major ambiguity.

    Naming Consistency5/5

    All tools use a consistent verb_noun pattern in snake_case (e.g., store_memory, list_memories, delete_memory, register_district). Deviations like prepare_memory_city_context still follow the pattern. No mixed conventions.

    Tool Count4/5

    18 tools is on the higher side, but each serves a specific purpose in a complex memory system (CRUD, search, graph traversal, statistics, import, context preparation). The count is justified and does not feel excessive.

    Completeness5/5

    The tool set covers the full lifecycle of memories: create, read (by ID, list, search, related), update, delete. Additionally supports connections, distillation, import, statistics, district registration, and context preparation. No obvious gaps for the stated domain.

    Maintenance

    ActivitySlowing
    ResponsivenessSlow

    Resources