Awesome GitHub RepositoriesWorkflow Definitions

Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes through versioned configuration files. It functions as a distributed platform that decouples task scheduling from execution by offloading computational workloads to a fleet of worker nodes. The system uses a reactive, event-driven engine to initiate workflows automatically in response to external signals, webhooks, schedules, or file system changes. The platform distinguishes itself through a modular plugin architecture that allows for the integration of custom tasks and external

This project provides a Model Context Protocol server that enables autonomous agents to interact with and manage automation workflows. It functions as an integration layer, allowing language models to discover, build, test, and deploy complex automation sequences through natural language instructions and structured schema-based communication. The platform distinguishes itself by offering granular control over automation logic, including the ability to perform surgical, incremental patches to specific workflow nodes rather than replacing entire structures. It supports multi-instance connectivi

Temporal is a distributed workflow orchestration engine designed to manage fault-tolerant, stateful, and long-running background processes. It functions as a platform for coordinating complex cross-service operations, ensuring consistency and reliability in distributed environments by decoupling workflow orchestration from task execution. The platform distinguishes itself through a deterministic, event-sourced execution model that reconstructs workflow state by re-executing code from an immutable event log. This approach isolates non-deterministic side effects into managed activities, allowin

Trigger.dev is a platform for building durable, event-driven background workflows. It functions as a workflow engine that allows developers to define complex, long-running processes using standard code rather than proprietary configuration languages. By utilizing a durable execution model, the system checkpoints progress, ensuring that tasks can automatically resume from the exact point of failure after a crash or interruption. The platform distinguishes itself through its focus on stateful, multi-step automation and real-time feedback. It supports the orchestration of AI agents and external

Elsa Core is a workflow engine framework designed for defining, executing, and managing long-running business processes. It functions as a distributed workflow orchestrator and event-driven trigger system, capable of operating as a multi-tenant platform with secure data isolation. The project distinguishes itself through a flexible approach to workflow definitions, supporting a visual drag-and-drop designer, programmatic C# definitions, and portable JSON specifications. It provides a highly extensible architecture allowing for the development of custom activities and the use of a dynamic expr

Zeebe es un motor de flujo de trabajo cloud-native y máquina de estados distribuida diseñada para la orquestación de procesos de negocio utilizando estándares BPMN y DMN. Opera como un runtime de flujo de trabajo gRPC de alto rendimiento que ejecuta procesos de negocio complejos a través de una arquitectura de streaming de eventos particionada. El sistema también funciona como un orquestador para agentes de modelos de lenguaje de gran tamaño, coordinando el razonamiento de IA y el uso de herramientas dentro de procesos de negocio deterministas. El motor se distingue por su red de brokers peer-to-peer y un modelo de replicación de datos basado en consenso que garantiza alta disponibilidad y tolerancia a fallos. Emplea un cluster de brokers particionado para lograr escalabilidad horizontal y utiliza contrapresión de solicitudes adaptativa para regular el flujo de comandos entrantes y prevenir la sobrecarga del sistema. La plataforma cubre una amplia superficie de capacidades operativas, incluyendo monitoreo de ejecución en tiempo real con mapas de calor de rendimiento, toma de decisiones de negocio automatizada mediante tablas de decisión y ejecución de tareas distribuidas a través de un modelo de trabajador de tareas basado en polling. También proporciona herramientas para el aislamiento de recursos multi-tenant, control de acceso basado en identidad e integración de APIs web externas y funciones serverless. El sistema puede desplegarse a través de varios entornos, incluyendo Kubernetes y Docker, y se gestiona mediante una combinación de interfaz de línea de comandos y una API REST programática.