cc-mem-mcp
Related Servers
Alternatives to cc-mem-mcp
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceDual-mode tool providing long-term memory management for Claude Code and MCP clients, with semantic search and user/session isolation via Qdrant.66-
- AlicenseNot gradedqualityCmaintenancePersistent memory with semantic search for Claude and MCP-compatible clients, storing context that survives conversations and can be retrieved intelligently.1MIT
- AlicenseNot gradedqualityAmaintenanceLocal-first persistent memory for coding agents and MCP clients. It keeps important project context across sessions and reduces wasted tokens by retrieving only relevant memories instead of replaying unnecessary history.MIT

Unforget MCP Serverofficial
AlicenseNot gradedqualityCmaintenanceLong-term memory for Claude Code, Cursor, and MCP clients with zero-config embedded PostgreSQL. Stores and retrieves facts, preferences, and decisions using 4-channel semantic, BM25, entity, and temporal search with cross-encoder reranking.1Apache 2.0- AlicenseAqualityAmaintenancePersistent long-term memory for AI agents — semantic recall across Claude, Cursor, ChatGPT & MCP.10118 npm21MIT
- FlicenseNot gradedqualityBmaintenancePersistent, self-curating memory for coding agents. It enables local, zero-cost context recall through MCP tools with hybrid retrieval and autonomous consolidation.-
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose: categories listing, deletion, semantic search, bulk ingestion from disk, initialization of project memory, stats reporting, and single-fact storage. No overlap between them.
All tools follow the 'memory_' prefix. Most use verb forms (delete, find, ingest, init, store) but two use nouns (categories, stats). The pattern is mostly consistent with minor deviation.
With 7 tools covering initialization, ingestion, storage, retrieval, deletion, categories, and statistics, the count is well-scoped for a memory management server. Each tool earns its place.
Core CRUD operations are covered (store, find, delete) along with initialization and bulk ingestion. Minor gaps like an explicit update or listing all facts are missing but can be worked around.