Awesome GitHub RepositoriesWorkflow Execution State Persisters

Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

Navigation2 est un framework de navigation ROS 2 pour les robots mobiles autonomes. Il fournit l'identité centrale d'un planificateur de trajectoire, d'un système de gestion de costmap, d'un contrôleur de mouvement cinématique et d'un orchestrateur d'arbres de comportement pour calculer des itinéraires sans collision et exécuter des commandes de mouvement. Le framework se distingue par son utilisation d'arbres de comportement pour coordonner des serveurs de tâches modulaires, permettant des routines de navigation complexes et des actions de récupération autonomes. Il prend en charge une architecture basée sur des plugins qui permet aux planificateurs et aux contrôleurs d'être échangés à l'exécution pour s'adapter à différents environnements. Le système couvre un large éventail de capacités, y compris la planification de trajectoire globale et locale, le SLAM 2D et la localisation basée sur carte, et la modélisation environnementale via des costmaps basées sur une grille. Il gère le contrôle de mouvement pour diverses cinématiques de transmission et intègre des systèmes de sécurité pour la surveillance des collisions et la prévention des urgences. Les fonctionnalités d'orchestration supplémentaires incluent le séquençage de points de passage multi-destinations, le suivi de cible dynamique et les procédures d'amarrage automatisées. Le framework utilise des composants à cycle de vie géré pour coordonner le démarrage, l'arrêt et la surveillance de la santé de ses serveurs opérationnels.

Workflow is a platform for executing long-running, stateful processes that automatically persist progress and recover state after system interruptions. It functions as a durable orchestration engine designed to manage complex, multi-step asynchronous operations within distributed systems. The framework distinguishes itself through event-sourcing and checkpointing mechanisms that record execution steps as an immutable log, allowing for precise state reconstruction after failures. It provides sandboxed task isolation to run side-effect-heavy logic in restricted environments, ensuring that sensi

This project is a business rules and complex event processing engine designed to manage logical decision-making and stateful workflows. It functions as a computational framework that evaluates incoming data streams and facts against conditional logic to derive new conclusions and trigger automated actions. The engine distinguishes itself through a combination of forward-chaining inference and deterministic state machine orchestration. It uses salience-based conflict resolution to prioritize rule execution and supports persistent contextual state tracking to manage long-running business proces

This project is a JavaScript-based workflow engine designed to execute business process models defined in standard XML. It functions as a stateful orchestrator that manages the lifecycle of complex processes by moving virtual tokens through tasks, gateways, and events. The engine provides a runtime environment for automating business logic, integrating external services, and coordinating human tasks within Node.js or browser-based applications. The engine distinguishes itself through its high degree of extensibility and state management capabilities. It allows developers to inject custom beha