Skip to main content
Glama
AIsofialuz

agent-memory-hub

by AIsofialuz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to agent-memory-hub

No user-submitted related servers found.

    Related Servers

    • MemoryClaw

      tostechbr
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to store and retrieve persistent memories using BM25 search, allowing them to remember past conversations and context across sessions.
      8
      MIT

    • haksnbot-memory

      haksndot
      A
      license
      Not graded
      quality
      D
      maintenance
      Provides persistent memory storage for AI agents with full-text search, tagging, and importance levels, enabling agents to store and retrieve memories efficiently.
      MIT

    • mcp-vl-msa-rs

      DioNanos
      A
      license
      Not graded
      quality
      D
      maintenance
      A searchable long-term memory server for AI agents using BM25 indexing over document chunks, enabling durable recall across sessions without cloud dependencies.
      1
      Apache 2.0
    • Memsolus MCP Server by memsolus

      Memsolus MCP Serverofficial

      memsolus
      A
      license
      A
      quality
      D
      maintenance
      Provides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.
      14
      8 npm
      MIT

    • MemoryOracle

      ToolOracle
      F
      license
      Not graded
      quality
      B
      maintenance
      Provides AI agents with persistent, searchable long-term memory across sessions, enabling storage, full-text retrieval, updates, GDPR-compliant deletion, session summaries, and cross-referencing with per-namespace isolation.
      -
    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 7 tools

    Disambiguation4/5

    Most tools have distinct purposes, but get_relevant_context and search_memory both retrieve memories based on relevance, which could cause confusion. However, descriptions differentiate automatic context retrieval from explicit search.

    Naming Consistency4/5

    Majority follow verb_noun pattern (forget_memory, list_memories, search_memory, store_memory, update_memory). Two exceptions: get_relevant_context adds an adjective, and memory_summary inverts the order. Overall, mostly consistent with minor deviations.

    Tool Count5/5

    7 tools is well-scoped for a memory management system. Each tool addresses a essential operation: create, read, update, delete, search, browse, and summarize, without unnecessary bloat.

    Completeness4/5

    Core CRUD and retrieval operations are covered. However, there is no direct 'get memory by key' tool; agents must infer keys from list or search results. This is a minor gap that agents can work around using existing tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources