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Store and retrieve long-term AI memories with semantic search and tags.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Memory Server" yet — see the docs or source repo.
Please store the following in long-term memory with tags "user-preferences, project-A": The user prefers concise answers, defaults to Chinese, and is reviewing requirements for Project A.
A confirmation that the memory was saved, including relevant tags or a memory summary.
Retrieve long-term memories related to "Project A requirements review" and "user language preference," then summarize them into context notes before answering.
Relevant semantically matched memories, organized into a concise context summary for follow-up replies.
Please list long-term memories tagged "meeting-notes" and "customer-feedback," sorted by time or relevance.
A list of memories matching the tags, including sorted results and brief content overviews.
Give AI clients persistent long-term memory with search and organization.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Lightweight vector memory for AI agents to store, search, and delete memories.
Give AI assistants persistent memory with vector search, relationships, and access control.
Give AI assistants persistent memory, semantic search, and team collaboration.
Enable AI assistants to store, search, and manage persistent semantic memories.