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Alternatives to recall-mcp

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    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent memory tools (recall, remember, checkpoint) for AI agents, enabling them to save and restore state across sessions.
      4
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI agents a local-first, persistent memory backed by a single SQLite file, letting them save decisions, preferences, and facts, then recall them by meaning or keyword across sessions and projects. Exposes tools for loading pinned context, searching, adding, updating, listing, and deleting memories, so agents stop forgetting between sessions.
      0
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store and semantically retrieve durable memories across sessions via MCP or REST, with tools for remembering, recalling, asking, updating, and forgetting memories.
      18 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides persistent, shared memory for AI agents by capturing conversations verbatim, distilling facts and summaries, and enabling retrieval through search, timeline, details, and explicit remember tools.
      MIT
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Provides AI agents with persistent long-term memory capabilities using semantic search. Enables storing, retrieving, and searching memories through three core tools integrated with Mem0 and vector storage.
      MIT

    TDQS

    A3.7/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a distinct purpose: remember stores, recall searches, forget deletes, list_memories enumerates, summarize_session derives memories from conversation, get_stats aggregates statistics, and export/import handle data transfer. No two tools overlap in their core function, making misselection unlikely.

    Naming Consistency5/5

    Tool names follow a consistent imperative verb pattern: either bare verbs (remember, recall, forget) or verb_noun pairs (list_memories, summarize_session, get_stats, export_memories, import_memories). The convention is uniform and predictable, with no mixed casing or inconsistent verb styles.

    Tool Count5/5

    Eight tools is a well-scoped set for a memory management server. Each tool addresses a core need (store, search, delete, list, auto-summarize, stats, export, import) without redundancy or bloat, fitting comfortably in the ideal 3–15 range.

    Completeness5/5

    The tool surface covers the full memory lifecycle: creating (remember, summarize_session, import_memories), reading (recall, list_memories, get_stats, export_memories), updating (import_memories with replace/bump), and deleting (forget). No critical operations are missing for managing persisted memories.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues