Enterprise AI Workflow Automation at Scale
A unified platform for designing, executing, and monitoring complex AI-driven business processes. Combining visual workflow design, stack-based orchestration, multi-agent AI execution, and enterprise data architecture.
Visual workflow designer - Create complex AI workflows with 150+ node types
Visual workflow designer with 150+ node types, 3-mode operation (Design/Execution/Evaluation), and real-time execution monitoring.
Stack-based workflow orchestration with LIFO execution model, 26 specialized executors, pause/resume control, and comprehensive error handling.
Multi-agent AI framework with 15+ LLM providers, 40+ plugins, MCP integration, function execution, and knowledge base support.
Real-time WebSocket communication with SignalR, live execution monitoring, automatic reconnection, and <100ms event latency.
Enterprise relational database with 40+ tables, multi-tenant architecture, complete audit trail, and referential integrity enforcement.
Schema-driven form builder with 20+ control types, conditional logic, validation rules, and multi-framework support (React/Vue/Angular).
| Layer | Technology | Purpose | Version |
|---|---|---|---|
| Frontend | React 18 + Vite | Visual workflow design | Latest |
| Frontend | React Flow 11.10 | Graph visualization | 11.10.0 |
| Frontend | Zustand 4.4 | State management | 4.4.0 |
| Backend | .NET 9 | Application runtime | 9.0 |
| Backend | SignalR 8.0 | Real-time communication | 8.0 |
| Backend | Entity Framework Core | ORM mapping | 9.0 |
| Database | SQL Server | Primary database | 2019+ |
| Database | PostgreSQL | Alternative database | 13+ |
| AI | OpenAI / Claude / DeepSeek | LLM providers | Latest APIs |
| AI | MCP Protocol | Model Context Protocol | 1.0 |
Navigate through detailed architecture diagrams, data flows, component specifications, deployment strategies, and security considerations.