Mnemex
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Alternatives to Mnemex
No user-submitted related servers found.
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- AlicenseAqualityCmaintenanceProvides human-like memory dynamics for AI assistants where memories naturally fade over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve. Enables automatic saving, searching, and management of contextual information with temporal decay algorithms.1136AGPL 3.0

JauMemory MCP Serverofficial
AlicenseAqualityCmaintenanceProvides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.2537 npmMIT- AlicenseBqualityCmaintenanceProvides persistent memory for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.5037 npmMIT
- AlicenseNot gradedqualityCmaintenanceProvides AI assistants with persistent long-term memory by organizing experiences into documents, memory atoms, and a knowledge graph, and enabling hybrid BM25/vector/graph retrieval with decay, reinforcement, and automatic recall.MIT
- AlicenseNot gradedqualityDmaintenanceProvides long-term memory for AI agents with per-user scoped recall, ranking by relevance, recency, and importance, consolidation of repeated events, and automatic forgetting.MIT
- AlicenseAqualityDmaintenanceGives AI assistants a persistent memory across conversations, allowing them to remember user preferences, notes, and facts between chats.614 npmMIT
TDQS
Scored across 13 tools
Tools are mostly distinct, with clear separation between search, retrieval, mutation, and maintenance operations. The main potential confusion is between search_memory and search_unified, and between cluster_memories and consolidate_memories, but descriptions clarify their different scopes.
Nearly all tools follow a consistent verb_noun snake_case pattern (e.g., save_memory, search_memory, consolidate_memories). The abbreviation 'gc' for garbage collection is the only notable deviation, making the naming slightly inconsistent.
The 13 tools are well-scoped for a memory server, covering creation, retrieval, search, maintenance, relations, and metrics. Each tool has a clear role without redundancy or excessive fragmentation.
The tool set covers the core memory lifecycle: creation (save_memory, create_relation), retrieval (open_memories, search_memory, read_graph), reinforcement (touch_memory), consolidation (cluster_memories, consolidate_memories), promotion (promote_memory), and deletion (gc). Minor gaps include lack of direct memory content update and relation deletion, but these are workable via existing tools.