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Turbo31150/README.md

Python TypeScript CUDA Linux Claude Docker

> whoami

Independent AI engineer building distributed autonomous systems on multi-GPU Linux clusters. I design architectures where hundreds of AI agents coordinate, trade, speak, and self-improve — without human intervention.

Core domains: Multi-agent orchestration | Voice interfaces | Algorithmic trading | Browser automation | GPU cluster engineering

🚀 What I'm Building

JARVIS OS — Distributed AI Operating System

A 9-layer autonomous operating system spanning boot to voice, running 600+ AI agents across a 6-GPU cluster.

Metric Value
🤖 Autonomous Agents 600+ MCP handlers across distributed nodes
🎙️ Voice Commands 2,658 recognized commands, Whisper CUDA pipeline (<300ms)
🔧 MCP Tools 87 tools orchestrated via Claude Agent SDK
🔗 Domino Chains 835 automation pipelines, self-healing
📈 Trading Engine 6-model consensus, MEXC Futures, 800+ pairs
🧠 Inference 6 NVIDIA GPUs / 46GB VRAM, LM Studio + Ollama

⚙️ Tech Stack

Domain Technologies
AI / ML Python CUDA Whisper Claude Ollama Gemini
Systems Linux systemd Bash Docker
Web TypeScript React Node.js Flask
Data SQLite Elasticsearch Redis PostgreSQL
Automation n8n Telegram CDP

🌟 Featured Projects

Project Description Stack
jarvis-linux 🧠 Core OS — cognitive cluster, orchestration, voice, trading Python, TS
jarvis-cowork 🏭 570+ autonomous QA scripts, continuous self-repair Python
jarvis-whisper-flow 🎙️ Real-time Whisper CUDA voice pipeline (<300ms latency) Python, CUDA
TradeOracle 📈 Multi-model consensus trading engine — MEXC Futures Python
TradeOracle-Nexus-Elastic 🔍 Financial intelligence — Elasticsearch, Monte Carlo sims Python
browser-mcp-orchestrator 🌐 Dual-browser DevTools MCP orchestration Node.js
bibliotheque-prompts-multi-ia 📚 397+ optimized prompts for Claude, GPT, Gemini, Mistral Markdown
turbo 📊 Cluster dashboard — GPU monitoring, agent health Python

💻 Cluster — La Creatrice

┌─────────────────────────────────────────────────────────┐
│  M1  │  Ryzen 5700X3D  │  6 GPUs  │  46GB VRAM        │  Primary: inference, voice, orchestration
│  M2  │  3 GPUs         │  24GB VRAM                    │  Reasoning: DeepSeek-R1
│  M3  │  Remote node    │  Backup                       │  Failover reasoning
│  OL1 │  Ollama local   │  Lightweight                  │  Fast tasks, cloud fallback
└─────────────────────────────────────────────────────────┘

📊 GitHub Stats

✉️ Contact

Email GitHub

Building AI systems that think, trade, speak, and self-improve — autonomously.

Pinned Loading

  1. Performance Analyzer - Hardware + Fi... Performance Analyzer - Hardware + FileSystem + Multi-IA Integration - MEGA_ORGANIZED method
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    # ═══════════════════════════════════════════════════════════════════════════════
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    # PERFORMANCE ANALYZER - Analyse + Maintenance + Optimisation
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    # Intégré au système Multi-IA
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    # Scan méthode MEGA_ORGANIZED
  2. APPEL API - UTILISATION MODEL SELECT... APPEL API - UTILISATION MODEL SELECTIONNEE ET OPTIONS ENTREE/SORTIE - Logique complète avec exemples OpenAI et Perplexity
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    # APPEL API - UTILISATION MODEL SELECTIONNEE ET OPTIONS ENTREE/SORTIE
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    ## LOGIQUE D'UTILISATION - GUIDE COMPLET
    
              
    
              
    
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    Ce document presente la logique complete pour utiliser les APIs OpenAI et Perplexity avec selection de modele et gestion des entrees/sorties.
    
              
    
          
    
    
    
  
    

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        Ponderation Dynamique Multi-IA V2 - ...  Ponderation Dynamique Multi-IA V2 - Formules Auto-Optimisees      
    

          
    
              
    
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    # PONDERATION DYNAMIQUE ENRICHIE
    
              
    
              
    
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    ## Formules Auto-Optimisees Multi-IA
    
              
    
              
    
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    ---
    
              
    
              
    
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        Machine Orchestrator - Auto-detect h...  Machine Orchestrator - Auto-detect hardware, adaptive allocation, performance optimization      
    

          
    
              
    
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    # ═══════════════════════════════════════════════════════════════════════════════
    
              
    
              
    
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    # ORCHESTRATOR - Analyse Materiel + Adaptation Automatique
    
              
    
              
    
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    # Detecte automatiquement: RAM, GPU, CPU
    
              
    
              
    
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    # Calcule allocations optimales
    
              
    
          
    
    
    
  
    

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        Script Test Distribution Massive Mul...  Script Test Distribution Massive Multi-IA      
    

          
    
              
    
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    #!/usr/bin/env python3
    
              
    
              
    
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    """
    
              
    
              
    
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    TEST DISTRIBUTION MASSIVE MULTI-IA
    
              
    
              
    
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    Mesure performances reelles et enrichit ponderations
    
              
    
              
    
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    """
    
              
    
          
    
    
    
  
    

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        Resultats Tests Massifs Distribution...  Resultats Tests Massifs Distribution Multi-IA      
    

          
    
              
    
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    # PONDERATION ENRICHIE - RESULTATS TESTS MASSIFS
    
              
    
              
    
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    # Date: 2025-11-27 19:07
    
              
    
              
    
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    # Tests: 8 executes
    
              
    
              
    
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