memory-mcp
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AlicenseNot gradedqualityBmaintenanceEnables persistent memory storage and retrieval for MCP clients, allowing AI assistants to remember facts and context across conversations.17 npmMIT- AlicenseNot gradedqualityAmaintenanceProvides persistent memory for AI agents via MCP, enabling agents to store and access notes, files, and session context across sessions and clients while under user control.4MIT
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- AlicenseNot gradedqualityCmaintenanceProvides persistent, cloud-based memory for AI agents, letting them remember preferences, skills, and decisions across sessions via an MCP-compatible interface.Apache 2.0
TDQS
Scored across 5 tools
Each tool targets a distinct action: remember stores, recall searches, forget deletes, list_memories lists, and memory_status reports system status. There is no ambiguity or overlap between them.
Names are mostly verb-based and readable, but there is a slight inconsistency: remember, recall, and forget are bare verbs, while list_memories is verb_noun and memory_status is noun_noun. A more uniform pattern like get_memory_status would improve consistency.
With 5 tools, the server is well-scoped for a memory system. Each tool covers a necessary function without redundancy, making the set neither too thin nor overly heavy.
The tools cover the core CRUD operations (create, read, delete) plus status. The only minor gap is the lack of an explicit update tool, but users can forget and re-remember to modify entries, so the shortfall is easily worked around.