Memlord
Related Servers
Alternatives to Memlord
AlicenseAqualityFmaintenanceAn MCP server that integrates with mem0.ai to help users store, retrieve, and search coding preferences for more consistent programming practices.9661Apache 2.0- AlicenseBqualityDmaintenanceProvides dynamic short-term and long-term memory management with keyword-based relevance scoring, time-decay models, and trigger-based recall. Optimized for Chinese language support with jieba segmentation.214 npm1BSD 3-Clause

Memory Nexusofficial
AlicenseNot gradedqualityDmaintenancePersistent 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- FlicenseNot gradedqualityDmaintenanceProvides 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
- AlicenseAqualityBmaintenanceSelf-hosted remote MCP memory server for ChatGPT and AI agents.342MIT
- AlicenseNot gradedqualityBmaintenanceA self-hosted MCP server that provides a personal semantic memory layer for AI tools. It enables storing, searching, and managing memories using hybrid vector and keyword search, allowing AI assistants to recall information by meaning.MIT
- AlicenseNot gradedqualityBmaintenanceMCP server wrapping a self-hosted mem0 REST API, enabling memory management with deduplication and mention-aware reranked search.MIT
- FlicenseAqualityCmaintenanceLocal-first MCP server for governed AI memory where agents propose memories and humans approve them, with optional cloud sync.61-
- AlicenseNot gradedqualityAmaintenanceA self-hosted MCP server that provides a unified memory vault across MCP clients with hybrid BM25+vector search.1MIT
- AlicenseNot gradedqualityCmaintenanceA self-hostable MCP server that provides permanent memory for AI agents using Postgres + pgvector for semantic search and Markdown file sync.MIT
TDQS
Scored across 10 tools
The CRUD and workspace tools are clearly separated, but the three search tools (retrieve_memory, recall_memory, search_by_tag) plus list_memories create moderate overlap. The descriptions provide enough guidance to avoid frequent misselection.
Most tools follow a consistent verb_noun pattern like store_memory, get_memory, update_memory, and delete_memory. However, search_by_tag breaks the pattern, and list_memories/list_workspaces use plural nouns, causing minor inconsistency.
Ten tools is well-scoped for a memory server, covering CRUD, multiple retrieval modes, tag search, and workspace management. Each tool has a clear role without significant redundancy.
The core memory lifecycle is well covered: store, retrieve, get, update, delete, and move. A minor gap is that get_memory requires an ID by name is not directly available, so users must list or search first to find the ID.