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Archiledge

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Herramientas para Desarrolladores
Ciencia de Datos y ML
Gestión de Bases de Datos

Implements a graph-based Model Context Protocol (MCP) memory server.

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Archiledge provides a robust, graph-based implementation of the Model Context Protocol (MCP) Memory Server, designed to serve as a knowledge graph for AI agents. It efficiently stores and manages entities and their relationships, offering a comprehensive set of MCP tools to programmatically create, read, search, and delete graph data. Featuring a modular architecture, Archiledge supports both transient in-memory storage and persistent Neo4j integration, making it an ideal and flexible solution for local development and testing environments that require advanced memory management capabilities for AI applications.

Características Principales

01Knowledge Graph storage for entities and relations
02Support for both in-memory and Neo4j graph persistence
03Optimized for local development and testing environments
040 GitHub stars
05Comprehensive MCP tools for graph manipulation (create, read, search, delete)
06Modular architecture with distinct domain, application, and infrastructure layers

Casos de Uso

01Developing and testing AI agents requiring memory management
02Prototyping knowledge graph-based applications
03Experimenting with the Model Context Protocol (MCP)