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Give AI assistants persistent memory with vector search, relationships, and access control.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "remember-mcp" yet — see the docs or source repo.
Use remember-mcp to add long-term memory to my AI assistant: store user preferences, past tasks, and key entity relationships, and enable semantic search over relevant records.
Returns a memory structure plan, the types of information to store, and a retrieval approach for querying relevant memories.
Use remember-mcp to design a multi-tenant memory setup so different team members and AI assistants can access project docs, meeting conclusions, and client context by trust level.
Outputs a plan for tenant isolation, permissions, trust-based access control, and how shared team memory should be organized.
Use remember-mcp to organize product requirements, owners, milestones, and risks into a connected memory base for future AI Q&A and context tracking.
Generates a knowledge memory design including entity relationships, storage recommendations, and future retrieval methods.
Give AI agents persistent memory and semantic retrieval across conversations.
Provide secure, fault-tolerant, searchable long-term memory for AI applications.
Help MCP clients remember preferences and retrieve key context across chats.
Give AI coding assistants persistent, conflict-aware memory across projects and sessions.
Give AI agents persistent memory, recall, and context management across sessions
Manage persistent agent memories across global or repository-specific scopes.