Automate and orchestrate processes using FlowSynx automation system
Empowering you to design, control, and automate every step of your workflow by linking ideas, decisions, and actions into one seamless, smart execution engine without writing a single line of code.
What is the FlowSynx?
The core goal of FlowSynx is to offer a lightweight, extensible, and developer-friendly orchestration engine that can be adapted to diverse domains—from data engineering and DevOps to healthcare, finance, and enterprise integrations. It aims to bridge the gap between no-code simplicity and full-code flexibility, giving users the power to tailor workflows to their exact requirements using a modular and plugin-driven approach.
FlowSynx is built on a micro-kernel architecture, which serves as the lightweight, extensible core of the system. This architectural pattern decouples the core orchestration logic from functional extensions, allowing users to dynamically load, develop, or replace plugins without impacting system stability. This enables FlowSynx to be highly customizable while still remaining easy to maintain and upgrade.
FlowSynx features and capabilities
Plugin-Based Extensibility
Each functional component in FlowSynx—from task definitions and runtime behaviors to integration endpoints and authentication providers—is treated as a plugin. Users can develop custom plugins using well-defined interfaces and register them with the system, enabling FlowSynx to adapt to specific business rules, protocols, or environments.
Cross-Platform Execution
FlowSynx is designed to run seamlessly across major platforms, including Windows, Linux, and macOS. Additionally, it offers containerized deployment via Docker, making it ideal for integration into modern DevOps pipelines, Kubernetes environments, or hybrid cloud architectures.
Workflow Definition and Execution
Workflows in FlowSynx are defined as Directed Acyclic Graphs (DAGs) using JSON or DSL representations. These workflows support conditional logic, parallel execution, error handling, input/output mapping, and custom execution contexts—enabling advanced control flow with traceability and fault tolerance.
Command-Line Interface (CLI)
A comprehensive CLI tool is included for managing workflows, invoking executions, debugging tasks, monitoring logs, and interacting with the system at a low level. This is ideal for scripting, batch jobs, and infrastructure automation.
Software Development Kit (SDK)
FlowSynx provides a full-featured SDK for programmatic access. Developers can use the SDK to integrate workflow functionality into their applications, define dynamic workflows at runtime, fetch execution results, and implement plugin hosting strategies. The SDK is structured with clean architecture principles and is available in .NET, with planned bindings for other ecosystems via REST APIs or language bridges.
REST-API Accessibility
Exposes core functionality through a well-documented, versioned RESTful API that enables secure remote access and seamless integration across platforms and programming languages. The API supports standard HTTP methods (GET, POST, PUT, DELETE), offers comprehensive OpenAPI/Swagger documentation, and includes authentication, rate limiting, and error handling mechanisms to ensure robustness, scalability, and ease of use for developers.
Authentication and Security
FlowSynx includes pluggable authentication support, enabling integration with modern identity providers such as OAuth2, OpenID Connect (e.g., Keycloak), as well as support for basic and token-based authentication. Security policies can be enforced per user, per plugin, and per workflow execution.
Logging, Monitoring, and Auditing
All workflow executions and plugin interactions are fully traceable. The system provides structured logging, execution history, and audit trail support for compliance and observability.
Standalone and Containerized Modes
FlowSynx can operate as a lightweight local service for single-user or single-machine scenarios, or it can scale horizontally through distributed orchestration models—enabling large-scale, multi-tenant execution across clusters or cloud-native infrastructures.
Trigger-Based Workflow Execution
Automatically launch workflows in response to specific events like file uploads, API calls, or scheduled intervals. Triggers eliminate manual intervention by monitoring conditions and instantly activating corresponding task flows, ensuring real-time, event-driven automation.