Add comprehensive frontend UI and distributed infrastructure

Frontend Enhancements:
- Complete React TypeScript frontend with modern UI components
- Distributed workflows management interface with real-time updates
- Socket.IO integration for live agent status monitoring
- Agent management dashboard with cluster visualization
- Project management interface with metrics and task tracking
- Responsive design with proper error handling and loading states

Backend Infrastructure:
- Distributed coordinator for multi-agent workflow orchestration
- Cluster management API with comprehensive agent operations
- Enhanced database models for agents and projects
- Project service for filesystem-based project discovery
- Performance monitoring and metrics collection
- Comprehensive API documentation and error handling

Documentation:
- Complete distributed development guide (README_DISTRIBUTED.md)
- Comprehensive development report with architecture insights
- System configuration templates and deployment guides

The platform now provides a complete web interface for managing the distributed AI cluster
with real-time monitoring, workflow orchestration, and agent coordination capabilities.

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

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

backend/app/models/__init__.py

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+from . import agent
+from . import project

backend/app/models/agent.py

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+from sqlalchemy import Column, Integer, String, DateTime
+from sqlalchemy.sql import func
+from ..core.database import Base
+
+class Agent(Base):
+    __tablename__ = "agents"
+
+    id = Column(String, primary_key=True, index=True)
+    endpoint = Column(String, nullable=False)
+    model = Column(String, nullable=False)
+    specialty = Column(String, nullable=False)
+    max_concurrent = Column(Integer, default=2)
+    current_tasks = Column(Integer, default=0)
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), onupdate=func.now())

backend/app/models/project.py

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+from sqlalchemy import Column, Integer, String, DateTime, Text
+from sqlalchemy.sql import func
+from ..core.database import Base
+
+class Project(Base):
+    __tablename__ = "projects"
+
+    id = Column(Integer, primary_key=True, index=True)
+    name = Column(String, unique=True, index=True, nullable=False)
+    description = Column(Text, nullable=True)
+    status = Column(String, default="active") # e.g., active, completed, archived
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), onupdate=func.now())
+
+# You might also need Pydantic models for request/response validation
+# from pydantic import BaseModel
+
+# class ProjectCreate(BaseModel):
+#     name: str
+#     description: str | None = None
+
+# class ProjectMetrics(BaseModel):
+#     total_tasks: int
+#     completed_tasks: int
+#     # Add other metrics as needed