Zero-Vector

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Zero-Vector is a powerful Model Context Protocol (MCP) server designed to manage and orchestrate AI personas, memories, and complex workflows. It combines the power of semantic vector search with knowledge graph capabilities, enabling a hybrid approach to AI memory and context. With advanced LangGraph workflow integration, it facilitates sophisticated multi-agent orchestration, including human-in-the-loop processing, making it ideal for building intelligent and highly functional AI applications that require dynamic persona management and complex reasoning.

Características Principales

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• Hybrid Vector-Graph Persona & Memory Management
• Advanced LangGraph Workflow Orchestration with 24 Specialized Tools
• Human-in-the-Loop Processing and Approval Support
• Comprehensive Knowledge Graph Exploration and Context Retrieval
• Multi-Server Integration (Zero-Vector v2 & v3) for Scalability

Casos de Uso

• Integrating hybrid vector-graph knowledge bases for enhanced contextual understanding in AI applications.
• Building AI assistants with persistent memory, dynamic personas, and knowledge graph integration.
• Orchestrating complex multi-step AI reasoning workflows and agentic processes.