mcp-duckdb-memory-server
The MCP DuckDB Knowledge Graph Memory Server is an enhanced version of the Knowledge Graph Memory Server that uses DuckDB to improve performance, scalability, and query functionality. It provides an efficient backend for handling large datasets and supports complex queries with an SQL interface.
What is the main advantage of using DuckDB in this server?
DuckDB provides fast query processing, SQL interface for complex queries, transaction support for data integrity, and indexing capabilities, making it suitable for handling large datasets efficiently.
How does the server handle memory updates?
The server updates memory by creating entities for recurring organizations, people, and significant events, connecting them to current entities using relations, and storing facts as observations.
Can the server be used without an external database server?
Yes, the server uses an embedded database, allowing it to operate within the application without requiring an external database server.
What is the purpose of the fuzzy search implementation?
The fuzzy search implementation combines SQL queries with Fuse.js to provide flexible entity searching, allowing for both structured queries and flexible text matching.
Is the server suitable for small datasets?
While the server is optimized for large datasets, it can still be used for small datasets, but the original JSON file-based approach may be more efficient for very small datasets.