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.

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.

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.

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.

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.

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.

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.

All workflow executions and plugin interactions are fully traceable. The system provides structured logging, execution history, and audit trail support for compliance and observability.

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.

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.

Integrate human decision points into automated workflows with Human-in-the-Loop Approval. This feature pauses execution until an authorized user manually approves or rejects a pending task. Ideal for scenarios requiring compliance checks, risk assessment, or business validation, it adds a layer of control and accountability within otherwise automated processes.

Ensure workflow resilience with configurable error-handling strategies that define how failures are managed during execution. Choose from Retry, Skip, or Abort behaviors to match the criticality of each task. Fine-tune retry behavior with customizable policies, including maximum retries, initial delay, and backoff strategies such as Fixed, Linear, Exponential, or Jitter, enabling intelligent recovery from transient failures without manual intervention.