Memory MCP
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Alternatives to Memory MCP
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Related Servers
- FlicenseNot gradedqualityCmaintenanceProvides AI agents with persistent, local cross-session shared memory by combining vector semantic retrieval with knowledge graph relationships, and supports short/long-term memory management and local backups.-
- AlicenseNot gradedqualityCmaintenanceSelf-hosted memory service that gives AI agents persistent, searchable memory across sessions, machines, and projects.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to maintain persistent, local memory with retrieval-augmented search, knowledge graphs, and context surfacing, without any cloud dependencies.2,052 npmMIT
- AlicenseNot gradedqualityBmaintenanceLocal-first, multi-user shared memory for AI agents with semantic search, offline support, and team synchronization.MIT

RushDB MCP Serverofficial
AlicenseNot gradedqualityCmaintenanceEnables AI agents to gain persistent, structured memory that is semantically searchable and graph-traversable, allowing them to store and query records and relationships without managing embeddings or schemas.54 npmApache 2.0- AlicenseNot gradedqualityBmaintenanceEnables AI agents to store, recall, update, delete, and analyze persistent memories with semantic search, decay, and anomaly retrieval across hosted, self-hosted, or fully local storage modes.53 npm22MIT
TDQS
Scored across 7 tools
Each tool targets a distinct operation: add, link, search, list, forget, profile, and help. The search vs list distinction is explicitly described as semantic versus metadata browsing, and memory_profile is clearly separated from general knowledge storage.
All tools share the memory_ prefix, which is highly predictable. Most suffixes are verb-style actions like add, link, search, list, and forget, though profile and help are nouns rather than actions, creating a minor inconsistency.
Seven tools is well-scoped for a memory server: core CRUD, linking, browsing, preference storage, and help each have a clear place. There is no apparent redundancy or excessive surface area.
The core memory lifecycle is covered: add, read/search/list, delete, link, and profile storage. An explicit update operation and an unlink operation are missing, but these can be worked around with forget+add, so they are minor gaps rather than critical dead ends.