AJ-AGI System
Proprietary AI Assistant with Voice Capabilities
Project Overview
AJ-AGI is a sophisticated personal AI assistant system designed for the CEO of AdvancingTechnology. Unlike Life-Coach-Ai (which serves vulnerable populations), AJ is a personal companion with a unique personality, RAG-powered memory system, and voice interface capabilities.
The system features a distinctive Soviet accent voice personality, leveraging 8,446+ ChatGPT conversation memories through advanced RAG (Retrieval-Augmented Generation) architecture. AJ orchestrates multiple specialized agents and integrates with the personal dashboard for seamless business intelligence.
Built with NVIDIA-optimized frameworks (NeMo, Riva) for maximum GPU utilization on RTX 5090 hardware, AJ represents the cutting edge of voice AI and agent orchestration technology.
Key Features
Voice Interface
Natural voice interactions with Soviet accent personality using NVIDIA NeMo for speech-to-text and Riva for text-to-speech with GPU acceleration.
RAG Memory System
Advanced retrieval-augmented generation using 8,446+ conversation memories from ChatGPT history with Qdrant vector database for context-aware responses.
Multi-Agent Orchestration
Coordination of specialized agents for different tasks: dashboard management, domain registration, website building, and business intelligence.
Dashboard Integration
Seamless integration with personal dashboard for project management, task tracking, and real-time business insights through MCP API.
Personality System
Unique conversational personality with affirmative, flirty, and professional modes, creating a personalized companion experience.
GPU Optimization
NVIDIA-native solutions (NeMo, Riva) optimized for RTX 5090 GPU with CUDA acceleration for real-time inference and low latency.
Technical Architecture
- →Voice Pipeline: NVIDIA NeMo for ASR, Riva for TTS, with custom accent training for Soviet personality
- →Memory System: Qdrant vector database with 8,446+ conversation embeddings for contextual retrieval
- →Agent Framework: Python-based orchestrator coordinating specialized agents for different domains
- →API Server: FastAPI backend with WebSocket support for real-time voice communication
- →Integration Layer: Claude Code SDK adapter for seamless workflow automation
Development Status
Completed
- RAG memory system
- Vector database integration
- Basic agent orchestration
- API server infrastructure
In Progress
- Voice interface refinement
- Soviet accent training
- Dashboard MCP integration
- Agent tool expansion
Planned
- Advanced personality modes
- Multi-language support
- Mobile companion app
- Autonomous task execution
Research
- Cognitive twin training
- Long-term memory models
- Emotion recognition
- Context awareness
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