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Alternatives to r3 (Recall)

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      A vendor-independent memory layer MCP server that enables multiple LLMs and AI agents to share and persist personal memories, knowledge, and context across sessions, with support for full-text search and tagging.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      A lightweight MCP server that provides long-term memory for LLMs by storing and retrieving important facts, decisions, and preferences through smart semantic search and automatic organization.
      12
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Open-source MCP server that gives any LLM long-term memory using a knowledge graph and vector search hybrid. It stores entities, observations, and relationships, enabling semantic recall across sessions with automatic clustering and fail-loud infrastructure.
      51
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Persistent memory MCP server for AI agents that stores, recalls, and searches conversation history, key-value context, and long-term entries across sessions with semantic search and FIFO queues.
      48 npm
      1
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    TDQS

    A4.4/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool targets a distinct operation: core memory CRUD, bulk import, deduplication, cache monitoring/optimization, sync checking, and knowledge graph pipeline steps are clearly separated. Potential overlaps like get_all_memories vs search_memory or add_memory vs deduplicate_memories are explicitly disambiguated by descriptions of intended use.

    Naming Consistency4/5

    Most tools follow a clear verb_noun snake_case pattern (add_memory, get_memory, update_memory, delete_memory, search_memory, import_memories, extract_entities, find_connections). Minor deviations exist: cache_stats and sync_status are noun-style rather than verb_noun, but they remain readable and consistent in style overall.

    Tool Count5/5

    14 tools is well-scoped for a memory server covering CRUD, search, bulk operations, cache maintenance, sync status, and knowledge graph features. Each tool has a legitimate place and none feel redundant or purely decorative.

    Completeness4/5

    The memory lifecycle is fully covered: add, get, update, delete, search, list, import, and deduplicate. Cache and sync monitoring are included, and knowledge graph extraction/querying extends the surface nicely. Minor gaps exist (no explicit export tool or cache configuration tool), but these do not create dead ends for core workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues