Aura

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Aura is a sophisticated AI companion system built on the Adaptive Socio-Emotional Knowledge Ecosystem (ASEKE) framework, designed to offer real-time emotional state detection, cognitive focus tracking, and continuous self-reflection. It incorporates an intelligent memory system utilizing ChromaDB for semantic search and unique MemVid AI QR code MP4 memory for infinite storage. Furthermore, Aura leverages the Model Context Protocol (MCP) for seamless integration with external tools and other AI agents, enabling bidirectional data exchange and a standardized communication framework. It also includes robust analytics for emotional and cognitive pattern recognition, aiming to provide a highly personalized and adaptive AI interaction.

Características Principales

• 4 GitHub stars
• Advanced Cognitive Architecture based on ASEKE Framework for socio-emotional understanding
• Real-time Emotional Intelligence System with neurological correlations (brainwave patterns, neurotransmitters)
• Model Context Protocol (MCP) integration as both client and server for broad tool compatibility
• Intelligent Memory System with ChromaDB vector database and infinite MemVid AI QR code MP4 memory
• Autonomous Subsystem Processing utilizing a Gemini Flash model to offload the main AI model for background tasks

Casos de Uso

• Building personal AI companions with advanced emotional and cognitive capabilities
• Integrating AI systems with external tools and other AI agents using the Model Context Protocol
• Developing applications requiring robust, semantically searchable, and infinitely expandable memory for AI interactions