Awesome GitHub RepositoriesWorkflow Definitions

CrewAI is a multi-agent orchestration framework designed for building autonomous systems that execute complex, multi-step workflows. It provides a development platform where specialized agents are defined with specific roles, goals, and tool sets to perform tasks collaboratively. By leveraging a declarative workflow engine, the system manages task dependencies, state transitions, and execution logic, allowing for the creation of structured, stateful sequences of operations. The framework distinguishes itself through its hierarchical management capabilities, which utilize manager agents to coo

Unstructured is an enterprise-grade data orchestration engine designed to transform raw, unstructured files into structured, machine-readable formats. It functions as a comprehensive platform for document ingestion, partitioning, and enrichment, specifically engineered to prepare complex data for retrieval-augmented generation and agentic AI workflows. The platform distinguishes itself through its sophisticated document processing strategies, which combine rule-based extraction with vision-language models to handle diverse file layouts, tables, and images. It provides a modular architecture t

Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che

Refly is an open-source platform for building, running, and sharing deterministic agent skills. It provides a visual workflow compiler that converts natural language descriptions into executable, versioned agent workflows, and includes a runtime that deploys these compiled skills as APIs, webhooks, Slack bots, or native tools for AI coding platforms like Claude Code and Cursor. The platform distinguishes itself through a central skill registry with versioning and audit logging, enabling teams to manage agent capabilities as governed corporate assets. It supports human-in-the-loop automation,

Hatchet is an open-source durable workflow engine and task orchestration platform. It provides a framework for building and executing fault-tolerant, multi-step pipelines as directed acyclic graphs (DAGs), with automatic retries, scheduling, and real-time observability. The system is built around durable task checkpointing, which persists execution state after each step so work can resume from the last checkpoint after a worker crash or restart, and it supports event-driven task resumption that pauses a task until a matching external event arrives. The platform distinguishes itself through it

Ce projet est un moteur de workflow d'apprentissage automatique conteneurisé et un orchestrateur conçu pour automatiser le cycle de vie complet des modèles d'apprentissage automatique sur des clusters Kubernetes. Il fonctionne comme un compilateur de pipeline MLOps qui transforme un langage spécifique au domaine en spécifications structurées pour un déploiement portable et évolutif. La plateforme fournit un environnement multi-tenant avec des espaces de noms isolés et une authentification par fournisseur d'identité. Elle se distingue par une combinaison d'isolation des tâches basée sur des conteneurs, une gestion des artefacts fortement typée pour le passage de données et une mise en cache des résultats adressable par contenu pour éviter les calculs redondants. Le système couvre l'orchestration complète des workflows, incluant l'exécution parallèle des tâches, la planification récurrente des exécutions et la logique de branchement conditionnel. Il prend en outre en charge le suivi des expériences, la collecte des métriques de workflow et la gestion des composants de pipeline réutilisables, avec la possibilité de configurer des demandes de ressources matérielles spécifiques pour le CPU, la mémoire et le GPU. Le logiciel est distribué via un SDK Python et peut être déployé dans des environnements autonomes, locaux ou multi-tenant.

gh-aw is a GitHub automation platform and orchestration framework that uses an agentic workflow engine to automate repository management and code reviews. It translates natural language markdown and configuration files into secure, automated task sequences driven by large language models. The system integrates a Model Context Protocol gateway to route calls between AI agents and external tools. It distinguishes itself through a comprehensive security guardrail system that provides sandboxed execution for protocol servers, network egress controls via domain allowlists, and human-in-the-loop ap