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Alternatives to zhiji-memory

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    Related Servers

    • A
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      A
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      Provides persistent, cross-session memory for MCP-compatible AI tools, letting them store and share a unified local memory with Chinese-aware semantic search, typo correction, associative perception chains, and graph-based recall.
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    • F
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      maintenance
      MCP server that dynamically extracts and manages user memory from LLM conversations, enabling consistent personalization across different models.
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    • A
      license
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      quality
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      Provides AI agents with persistent, human-like memory infrastructure via MCP, enabling them to store, search, summarize, and forget episodic, semantic, procedural, and working memories across sessions.
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    • A
      license
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      quality
      F
      maintenance
      MCP server providing cognitive memory storage with dual memory system (project and user), semantic classification, time knowledge graph, and memory decay, enabling persistent context-aware interactions.
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    TDQS

    A4.2/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct operation: memory assembly, search, ingestion, profile/facts retrieval, status, proactive reminders, and feedback. Even the similar workspace_assemble and memory_search are clearly differentiated by depth (inference vs recall-only). No overlapping purposes.

    Naming Consistency4/5

    All tools use snake_case with 'zhiji_' prefix, but verb placement varies: some are verb_noun (workspace_assemble, memory_search), others noun_verb (profile_get, facts_get), and 'status' is just a noun. Minor inconsistency but still predictable and readable.

    Tool Count5/5

    9 tools is well-scoped for a memory server. Each tool serves a clear need: ingest (text and file), search (light and heavy), retrieve profile/facts, status check, proactive reminders, and feedback. Nothing feels extraneous or missing.

    Completeness3/5

    Covers creation (ingest) and retrieval (search, profile, facts) well, but lacks update/delete tools for memories. Feedback allows quality adjustments but not content modifications. Prospective and status are nice additions, but lack of full CRUD is a notable gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues