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Share memory, preferences, and chat history across AI assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LLM Memory MCP Server" yet — see the docs or source repo.
Please save the key background, confirmed requirements, action items, and my preferences for the 'mobile app redesign project' into shared memory so I can continue with another AI assistant later.
A structured project memory is stored for other AI assistants to retrieve and continue from.
Save my long-term preferences: reply in Chinese first, use a professional and concise tone, give the conclusion before steps, and avoid emojis. Apply these settings by default in future responses.
A user preference profile is saved so future assistants respond in a consistent style.
Search shared memory for past discussions about the 'Q3 marketing plan' and list the decisions made, unresolved issues, and the timeline of related conversations.
A summary of remembered facts, decisions, and a conversation timeline is returned.
Provides durable local memory for LLM coding workflows.
Enable AI clients to remember user preferences across conversations with vector search.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Give AI assistants a persistent, searchable memory layer and context management.
Automatically stores technical knowledge and retrieves relevant context across future AI sessions.
Give AI assistants persistent memory, semantic search, and team collaboration.