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Related Servers

Alternatives to Memlord

  • A
    license
    Not graded
    quality
    D
    maintenance
    Persistent memory and handoff intelligence layer for MCP agents. Most memory servers retrieve text — Memory Nexus compounds operational context, learning from usage and progressively synthesizing observations into higher-order intelligence across sessions and tools.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides persistent AI agent memory using a local vector database for long-term semantic storage and short-term session scratchpads. It enables low-latency memory operations including search, storage, and bulk management without external cloud dependencies.
    -

Related Servers

TDQS

A3.9/5.0

Scored across 11 tools

Disambiguation4/5

Retrieval tools (retrieve_memory, recall_memory, get_memory, list_memories, search_by_tag) overlap in purpose, but descriptions clearly distinguish semantic/text search, time-based search, direct name lookup, browsing, and exact tag search. CRUD, workspace, and consolidation tools are clearly separate.

Naming Consistency4/5

Almost all tools follow a consistent snake_case verb_noun pattern (store_memory, update_memory, retrieve_memory, etc.). The one outlier is dream_report, which is noun-based rather than verb-based, but the set remains predictable overall.

Tool Count5/5

11 tools is well-scoped for a memory management server. Each tool appears to cover a distinct operation, and the count sits comfortably within the typical 3-15 range without obvious bloat.

Completeness3/5

Core memory lifecycle is covered: store, get, update, delete, move, search, list, and expiry handling. Notable gaps remain: there is no create/delete workspace tool despite list_workspaces, and no tool to add or remove tags despite search_by_tag, which could leave agents unable to set up tag-based searches.

Maintenance

ActivityMaintained
ResponsivenessSlow