Merge pull request #10 from gejjech/copilot/fix-1cb57188-2cf9-4cf9-a18e-89297215305b

[WIP] build

N8N_AI_Integration/brain_enhanced_workflows.json

@@ -0,0 +1,72 @@
+[
+  {
+    "id": "brain_001",
+    "name": "Neural Pattern Recognition Workflow",
+    "description": "Advanced pattern recognition using brain-inspired neural networks",
+    "category": "ai_ml",
+    "nodes": 18,
+    "brain_tech_features": [
+      "pattern_recognition",
+      "adaptive_learning",
+      "cognitive_mapping"
+    ],
+    "complexity": "High",
+    "status": "active"
+  },
+  {
+    "id": "brain_002",
+    "name": "Cognitive Decision Tree Workflow",
+    "description": "Multi-path decision making with neural network optimization",
+    "category": "ai_ml",
+    "nodes": 22,
+    "brain_tech_features": [
+      "decision_making",
+      "neural_optimization",
+      "cognitive_flexibility"
+    ],
+    "complexity": "High",
+    "status": "active"
+  },
+  {
+    "id": "brain_003",
+    "name": "Adaptive Learning Pipeline",
+    "description": "Real-time learning and adaptation based on user interactions",
+    "category": "ai_ml",
+    "nodes": 15,
+    "brain_tech_features": [
+      "adaptive_learning",
+      "real_time_processing",
+      "neural_efficiency"
+    ],
+    "complexity": "Medium",
+    "status": "active"
+  },
+  {
+    "id": "brain_004",
+    "name": "Neural Integration Hub",
+    "description": "Multi-service integration with brain-computer interface capabilities",
+    "category": "integration",
+    "nodes": 25,
+    "brain_tech_features": [
+      "brain_interface",
+      "neural_connectivity",
+      "cognitive_enhancement"
+    ],
+    "complexity": "High",
+    "status": "active"
+  },
+  {
+    "id": "brain_005",
+    "name": "Cognitive Automation Engine",
+    "description": "Intelligent automation with cognitive pattern recognition",
+    "category": "automation",
+    "nodes": 20,
+    "brain_tech_features": [
+      "cognitive_enhancement",
+      "pattern_recognition",
+      "adaptive_learning"
+    ],
+    "complexity": "High",
+    "status": "active"
+  }
+]

N8N_AI_Integration/brain_tech_config.json

@@ -0,0 +1,45 @@
+{
+  "version": "2025.07.31",
+  "neural_networks": {
+    "pattern_recognition": {
+      "type": "convolutional",
+      "status": "active",
+      "capabilities": [
+        "workflow_analysis",
+        "pattern_detection",
+        "neural_mapping"
+      ]
+    },
+    "adaptive_learning": {
+      "type": "reinforcement",
+      "status": "active",
+      "capabilities": [
+        "real_time_adaptation",
+        "learning_optimization"
+      ]
+    },
+    "cognitive_enhancement": {
+      "type": "transformer",
+      "status": "active",
+      "capabilities": [
+        "decision_making",
+        "problem_solving",
+        "creativity"
+      ]
+    },
+    "brain_interface": {
+      "type": "neural_interface",
+      "status": "active",
+      "capabilities": [
+        "neural_connectivity",
+        "cognitive_mapping"
+      ]
+    }
+  },
+  "adaptive_features": {
+    "real_time_learning": true,
+    "pattern_optimization": true,
+    "cognitive_flexibility": true,
+    "neural_efficiency": true
+  }
+}

N8N_AI_Integration/integration_data.json

@@ -0,0 +1,37 @@
+{
+  "system_info": {
+    "name": "N8N AI Integration Hub",
+    "version": "2.0.0",
+    "brain_tech_version": "2025.07.31",
+    "build_date": "2025-09-25T05:10:10.656831",
+    "status": "active"
+  },
+  "capabilities": {
+    "workflow_processing": true,
+    "brain_tech_integration": true,
+    "neural_networks": true,
+    "adaptive_learning": true,
+    "real_time_analysis": true,
+    "pattern_recognition": true,
+    "cognitive_enhancement": true
+  },
+  "statistics": {
+    "total_workflows": 2053,
+    "brain_enhanced_workflows": 5,
+    "neural_networks": 4,
+    "categories": 10,
+    "integrations": 365
+  },
+  "neural_features": [
+    "Pattern Recognition in Workflows",
+    "Neural Architecture Optimization",
+    "Brain-Inspired Workflow Design",
+    "Cognitive Load Analysis",
+    "Neural Efficiency Metrics",
+    "Dynamic Workflow Evolution",
+    "Adaptive Integration Design",
+    "Personalized AI Workflows",
+    "Context-Aware Responses",
+    "Learning Pattern Optimization"
+  ]
+}

N8N_AI_Integration/processed_workflows.json

@@ -0,0 +1,19 @@
+{
+  "total_workflows": 2053,
+  "processed_workflows": 2053,
+  "categories": {
+    "ai_ml": 156,
+    "communication": 423,
+    "data_processing": 298,
+    "automation": 567,
+    "integration": 234,
+    "social_media": 189,
+    "cloud_storage": 145,
+    "project_management": 123,
+    "crm_sales": 98,
+    "ecommerce": 120
+  },
+  "brain_tech_compatible": 456,
+  "average_nodes": 14.3,
+  "total_nodes": 29445
+}

N8N_AI_Integration/start_server.py

@@ -0,0 +1,23 @@
+
+import http.server
+import socketserver
+import os
+import webbrowser
+from pathlib import Path
+
+PORT = 8080
+DIRECTORY = Path(__file__).parent
+
+class CustomHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, directory=str(DIRECTORY), **kwargs)
+
+def start_server():
+    with socketserver.TCPServer(("", PORT), CustomHTTPRequestHandler) as httpd:
+        print(f"🧠 N8N AI Integration Hub running at http://localhost:{PORT}")
+        print("Press Ctrl+C to stop the server")
+        webbrowser.open(f"http://localhost:{PORT}")
+        httpd.serve_forever()
+
+if __name__ == "__main__":
+    start_server()