Memory MCP Server
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- AlicenseNot gradedqualityAmaintenanceProvides 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.116 npm4-
- FlicenseNot gradedqualityDmaintenanceProvides persistent long-term memory, knowledge base, and audit trail for AI agents, with intelligent recall, salience tracking, and CJK-aware context management.2-
- AlicenseNot gradedqualityCmaintenanceProvides persistent long-term memory for AI agents with semantic search and activation-based decay. Enables AI systems to remember across sessions through layered memory architecture and automatic context-aware retrieval.14 npmMIT
- AlicenseAqualityBmaintenanceProvides brain-inspired long-term memory for MCP clients, enabling persistent user understanding across sessions with Chinese-optimized hybrid retrieval and evolving user profiles.911 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to save, search, and manage local Chinese semantic memories on demand, with support for updating, merging, and Obsidian-style linking.6,486,649 npmMIT
- AlicenseAqualityCmaintenanceProvides human-like memory dynamics for AI assistants, enabling natural forgetting and reinforcement of memories over time.131MIT
TDQS
Scored across 21 tools
Most tools have distinct purposes targeting specific memory types (long-term vs. short-term) or operations (add, delete, search, backup), but some overlap exists: 'search_memories' and 'search_short_term_memories' could be confused, and 'get_metrics' and 'health_check' both relate to performance monitoring. Descriptions help clarify, but boundaries are not perfectly clear.
The naming is mixed with no consistent pattern: some use verb_noun (e.g., 'add_long_term_memory', 'delete_short_term_memories'), others use noun_verb (e.g., 'health_check'), and there's a mix of English and Chinese names. While readable, the conventions vary significantly across the tool set.
With 21 tools, the count is slightly high but reasonable for a memory management server covering operations like CRUD, search, backup, and analytics. It feels comprehensive without being overly bloated, though it could be streamlined by merging some overlapping tools.
The tool set provides complete coverage for memory management: CRUD operations for both long-term and short-term memories, search functionalities, backup/restore, cleanup, and analytics (e.g., stats, patterns). No obvious gaps exist; agents can handle the full lifecycle of memories effectively.