Manage vector embeddings for Cursor10x MCP by performing store, search, update, and delete operations to enhance AI memory retention and recall.
MIT
109,146 tools. Last updated 2026-04-17 09:17
- Retrieve vector embeddings for entities stored in a knowledge graph memory system to enable semantic search and analysis.MIT
- Verify DataBeak server status and resource availability before operations. Returns server health, memory usage, session capacity, and version details to ensure system readiness.
- Search memory files using hybrid, lexical, or vector methods to retrieve relevant information from stored data.MIT
- Search for entities in your knowledge graph memory using semantic meaning and vector similarity to find relevant information based on conceptual relationships.MIT
- Search episodic memory to find similar past experiences using vector similarity for research and task execution.MIT
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