Workflow Engine for Kubernetes
- workflow
- kubernetes
- argo
- dag
47,133 repositories indexed
1–21 of 21 · Most stars
Workflow Engine for Kubernetes
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
Translated【A common used C++ & Python DAG framework】 A general-purpose, third-party-dependency-free, cross-platform parallel computing framework based on flow graphs, listed in awesome-cpp. Welcome to star & fork & discuss
A powerful workflow engine implemented in pure Python
Ruby finite-state-machine-inspired API for modeling workflow
An open source, a high-performance hybrid integration platform that allows developers quick integration with any application, data, or system.
A framework for pluggable business logic components
Effortless Microservice Design and Integration. This repository includes the code-base for the Warewolf Studio and Server.
The type-safe, event-driven workflow orchestration library that scales with your business. Build robust, distributed workflows in Go with compile-time safety, automatic retries, and horizontal scaling out of the box. Integrate with your existing tech stack using adapters 🚀
RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.
Flow-based Application Layer Framework
Deploy, execute, manage process-based applications made with Bonita studio or through Engine APIs
The 30 MB open-source edge AI agent runtime. Run AI agents offline on Linux (Raspberry Pi, Jetson). GPIO, UART, MQTT as first-class nodes. Industrial protocols (OPC-UA, Modbus) on the roadmap.
Take control of your data, connect with anything, and expose it anywhere through protocols such as HTTP, GraphQL, and gRPC.
A library to build and execute typed scientific workflows
Hit a million different APIs and combine the results in one simple hash (without pulling your hair out). A simple workflow system to gather aggregate attributes for something.
Local-first automation Agent & deterministic workflow engine — the secure control layer between AI and your data. Data stays local. Connect your own LLM / files / notes / databases via Connector API. ReAct reasoning · DAG/WAL/Saga/idempotent execution · MCP · offline-capable.
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines
Task pipeline on top of Golem.network