Initial commit: Complete Hive distributed AI orchestration platform

This comprehensive implementation includes:
- FastAPI backend with MCP server integration
- React/TypeScript frontend with Vite
- PostgreSQL database with Redis caching
- Grafana/Prometheus monitoring stack
- Docker Compose orchestration
- Full MCP protocol support for Claude Code integration

Features:
- Agent discovery and management across network
- Visual workflow editor and execution engine
- Real-time task coordination and monitoring
- Multi-model support with specialized agents
- Distributed development task allocation

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

backend/app/models/user.py

@@ -0,0 +1,14 @@
+from sqlalchemy import Column, Integer, String, DateTime, Boolean
+from sqlalchemy.sql import func
+from ..core.database import Base
+
+class User(Base):
+    __tablename__ = "users"
+
+    id = Column(Integer, primary_key=True, index=True)
+    username = Column(String, unique=True, index=True)
+    email = Column(String, unique=True, index=True)
+    hashed_password = Column(String)
+    is_active = Column(Boolean, default=True)
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), onupdate=func.now())

backend/app/models/workflow.py

@@ -0,0 +1,72 @@
+from pydantic import BaseModel
+from datetime import datetime
+from typing import Dict, Any, List, Optional
+
+# Workflow Models
+class WorkflowCreate(BaseModel):
+    name: str
+    description: Optional[str] = None
+    n8n_data: Dict[str, Any]
+
+class WorkflowModel(BaseModel):
+    id: str
+    name: str
+    description: Optional[str] = None
+    n8n_data: Dict[str, Any]
+    created_at: datetime
+    updated_at: datetime
+    active: bool = True
+
+class WorkflowResponse(BaseModel):
+    id: str
+    name: str
+    description: Optional[str] = None
+    node_count: int
+    connection_count: int
+    created_at: datetime
+    updated_at: datetime
+    active: bool
+
+# Execution Models
+class ExecutionLog(BaseModel):
+    timestamp: str
+    level: str  # info, warn, error
+    message: str
+    data: Optional[Any] = None
+
+class ExecutionCreate(BaseModel):
+    input_data: Dict[str, Any]
+
+class ExecutionModel(BaseModel):
+    id: str
+    workflow_id: str
+    workflow_name: str
+    status: str  # pending, running, completed, error, cancelled
+    started_at: datetime
+    completed_at: Optional[datetime] = None
+    input_data: Dict[str, Any]
+    output_data: Optional[Dict[str, Any]] = None
+    error_message: Optional[str] = None
+    logs: List[ExecutionLog] = []
+
+class ExecutionResponse(BaseModel):
+    id: str
+    workflow_id: str
+    workflow_name: str
+    status: str
+    started_at: datetime
+    completed_at: Optional[datetime] = None
+    input_data: Dict[str, Any]
+    output_data: Optional[Dict[str, Any]] = None
+    error_message: Optional[str] = None
+    logs: Optional[List[ExecutionLog]] = None
+
+# Node Status for WebSocket updates
+class NodeStatus(BaseModel):
+    node_id: str
+    node_name: str
+    status: str  # pending, running, completed, error
+    started_at: Optional[datetime] = None
+    completed_at: Optional[datetime] = None
+    result: Optional[Any] = None
+    error: Optional[str] = None