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Lightweight vector memory for AI agents to store, search, and delete memories.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Memory-DB MCP Server" yet — see the docs or source repo.
Use Memory-DB MCP Server to store this memory: the user prefers concise replies, prefers Chinese, and is interested in machine learning and data analysis. Then return the save result and memory ID.
A confirmation that the memory was stored successfully, including memory IDs for later management.
Use Memory-DB MCP Server to retrieve memories most relevant to 'the user's language preferences and response style requirements,' and return the top 5 matches with similarity scores.
A ranked list of semantically matched memories so the agent can recover context and personalize responses.
Use Memory-DB MCP Server to delete the memories associated with the following memory IDs, and confirm which deletions succeeded or failed.
A deletion report clearly showing which memory records were removed successfully and which failed.
Give AI clients persistent long-term memory with search and organization.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage persistent agent memories across global or repository-specific scopes.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Build persistent, semantically searchable memory for codebases via natural language queries.