Build. Deploy. Monitor.
Enterprise integrations made simple
Visual flow-based programming with 50+ node types,
dual runtime modes, and
real-time monitoring.
No vendor lock-in. Fully customizable. Built in-house for complete control.
FlowEngine is an enterprise-grade visual flow-based integration platform that enables you to build, deploy, and monitor complex data workflows without writing extensive code.
With a powerful drag-and-drop editor, 50+ node types, dual runtime modes (Worker Thread and Docker), and comprehensive monitoring capabilities, FlowEngine simplifies enterprise integrations while giving you complete control and zero vendor lock-in.
Everything you need to build enterprise-grade integrations without writing complex code
Drag-and-drop interface powered by React Flow. Build complex workflows visually with real-time validation and live debugging.
Choose between Worker Thread (lightweight) or Docker Container (isolated) runtimes. Hot-redeploy without downtime.
Comprehensive node library covering databases, messaging, HTTP, file operations, transformations, and custom functions.
Create reusable subflows that can be shared across projects. Build once, use everywhere with nested subflow support. See dedicated section below for details.
Chain multiple flows together for complex workflows. Automatic state management and resource balancing between flows.
Comprehensive metrics tracking with execution history, performance monitoring, and analytics dashboards. Track CPU, memory, cycle times, and message flows.
Real-time debug panel and live logs with flow-specific filtering. See exactly what's happening in your flows as they execute.
Shared storage system for passing data between unconnected nodes. Perfect for queue patterns and state management.
Centralized connection management for databases, MQTT, WebSocket, SFTP, Redis, and Kafka. Secure credential storage.
Upload and parse CSV/JSON files. Built-in support for file operations with automatic format detection.
Execute JavaScript and Python code within flows. Full access to Node.js ecosystem and Python libraries.
Bulk write operations, message queuing, concurrency control, and optimized execution engine for enterprise-scale workloads.
Automatic version snapshots on every save and deploy. Track changes, view history, and see what changed between versions with change summaries.
One-click deploy with hot-redeploy. Update flows in production instantly without downtime. Real-time deployment status tracking via WebSocket.
Rollback to any previous version with a single click. Automatic pre-rollback snapshots ensure you can always recover. View full version history.
How FlowEngine orchestrates flows across multiple runtime environments
Isolated containers with resource limits
Core Orchestration Engine
Lightweight thread-based execution
Configure what to monitor and get insights into your flow performance
Everything you need for enterprise integrations, all in one platform
The perfect enterprise integration tool for modern businesses
Built for scale with resource limits, monitoring, alerting, and comprehensive error handling. Production-grade from day one.
In-house developed means complete control. Add custom nodes, extend functionality, and adapt to your exact needs.
Optimized execution engine with bulk operations, message queuing, and efficient resource utilization.
Docker runtime provides complete isolation. Resource limits prevent resource exhaustion. Secure credential management.
Comprehensive metrics, analytics dashboards, execution history, and performance tracking. Know exactly what's happening.
Hot-redeploy flows without restarting. Update flows in production without service interruption.
Centralized connection management for databases, messaging, and external services
Execute custom code with full access to Node.js and Python ecosystems
Full Node.js runtime access
Full Python ecosystem support
Easily add npm packages or Python libraries to extend your function nodes with powerful capabilities.
Install packages in the server's node_modules directory. Then use require() in your function code.
Add libraries to requirements.txt and rebuild the Docker image. Or specify allowed modules per function node.
FlowEngine provides three powerful mechanisms for managing data and configuration across your flows.
Per-flow configuration stored in the database. Perfect for API keys, URLs, and configuration values. Set via Flow Settings â Env Vars.
Per-flow shared state for queues, buffers, and runtime data. All nodes in a flow can read/write. Perfect for producer/consumer patterns.
Shared across all nodes in a flow. Use Flow Storage as global variables for counters, flags, and shared state between unconnected flow sections.
context.getStorage() / setStorage() in function nodesBuild once, use everywhere. Create reusable subflows that can be shared across all flows and projects
Subflows are global, reusable flow components that can be used across multiple flows and projects. They allow you to encapsulate common logic and reuse it anywhere.
subflow:in node. This is the ONLY entry point.msg.payload.subflow:out node. This sends data back to the parent flow.subflow:instance node to your flow.subflowId to reference your subflow.msg.payload flows through automatically.See how flows look in the React Flow editor
Direct bash access to running containers and advanced Docker network configuration
Access running flow containers and the FlowEngine server directly from the UI. Execute commands, inspect logs, and debug issues in real-time.
Advanced network configuration for Docker runtime flows. Connect containers to custom networks for isolation or multi-network access.
Flow-specific debugging with live logs and debug panel in the flow editor
Real-time flow execution logs
Interactive debug sidebar
Explore the visual flow editor, analytics dashboard, and powerful features
Link multiple flows together in a sequential chain. Automatic state management, resource balancing, and seamless payload passing
Chain flows allow you to link multiple flows together in a sequential execution chain. Each flow runs independently with its own runtime, and data flows seamlessly between them.
First flow only. Replaces entry nodes. Initializes chain state and receives trigger payload.
Middle flows. Ends current flow, stores payload, starts next flow. Current flow runtime stops.
Last flow only. Marks chain as completed, saves execution history, stops final runtime.
Leveraging the best tools and frameworks for reliability and performance
Compare FlowEngine to traditional integration platforms
| Feature | Traditional Platforms | FlowEngine |
|---|---|---|
| Customization | Limited, vendor-locked | â Fully customizable, in-house |
| Runtime Options | Single runtime | â Worker Thread + Docker |
| Hot Redeploy | Requires restart | â Zero-downtime updates |
| Real-Time Debugging | Limited or none | â Live debug panel & logs |
| Subflows | Basic support | â Global reusable subflows |
| Flow Chaining | Not available | â Advanced chain flows |
| Analytics | Basic metrics | â Comprehensive analytics dashboard |
| Cost | High licensing fees | â Self-hosted, no per-user fees |
| Extensibility | Plugin marketplace only | â Add custom nodes easily |
| Python Support | Limited or none | â Full Python execution |
FlowEngine powers integrations across industries
Connect MQTT devices, process sensor data, store in databases, and trigger alerts. Real-time IoT pipeline management.
ETL pipelines, data transformation, bulk imports, and multi-database synchronization. Handle millions of records efficiently.
Build REST APIs, aggregate multiple services, handle webhooks, and create microservice orchestrations.
Kafka/Redis event processing, message routing, pub/sub patterns, and real-time event transformations.
SFTP file monitoring, CSV/JSON parsing, batch processing, and automated file workflows.
Complex multi-step workflows, conditional routing, error handling, retries, and state management.
Continuous innovation and feature development
Enhanced analytics with trend analysis, predictive metrics, custom reporting, and data visualization
Version control for flows with diff visualization, one-click rollback, and change history tracking
Expanded plugin registry with community contributions, custom node marketplace, and plugin versioning
Pre-built flow templates for common integration patterns, industry-specific solutions, and template sharing
Enterprise multi-tenancy with isolated environments, resource quotas, and tenant-level access control
RBAC, audit logging, encryption at rest, SOC 2 compliance, and enterprise security features
Export flows as packages, import into other environments, and share flows across teams
AI-assisted flow creation, automatic optimization suggestions, and intelligent error detection
Complete control over every aspect of the platform
Easily add new node types. Extend BaseNode class and register in the node registry. Full access to the execution engine.
Plugin system for Python utilities, Protobuf support, and custom libraries. Extend functionality without modifying core.
React-based UI means complete control over the interface. Customize themes, layouts, and user experience.
Add custom runtime adapters. Support new execution environments or extend existing ones.
Own your code, own your data. No proprietary formats or hidden dependencies. Full source code access.
Modular architecture makes it easy to add features. Well-documented codebase and clear extension points.
FlowEngine gives you the power to build enterprise-grade integrations faster, with complete control and zero vendor lock-in.
AI-Powered Rapid Flow Development. Create, update, test, and deploy flows instantly with AI assistance
The FlowEngine MCP Server enables AI assistants (like Cursor) to understand your flow architecture, generate flows following best practices, and manage your entire FlowEngine setup programmatically.
Upcoming features and enhancements planned for FlowEngine
Deploy entire projects in their own dedicated containers. Each flow within the project runs as separate threads inside the container, providing enhanced isolation and resource management at the project level.
Built-in support for additional messaging protocols and integration patterns. Expand connectivity options with native nodes for more enterprise communication standards and protocols.
Configure webhooks for individual flows to receive real-time notifications about flow execution, errors, performance metrics, and state changes. Integrate with external monitoring systems.
AI monitoring analyzes metric trends to detect fluctuations and predict potential failures before they occur. Proactive alerts based on pattern recognition and anomaly detection in performance metrics.
Position FlowEngine as the primary integration application for enterprise environments. Comprehensive integration hub connecting all systems, services, and data sources in a unified, manageable platform.