Agentic Orchestration Platform
- microservices
- orchestration-framework
- workflow-engine
- java
59,621 visible repositories in the index
25–47 of 47 · Most stars
Agentic Orchestration Platform
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
Lightweight, fast, stable, programmable component-based rule engine — where AI Agents orchestrate just like ordinary components. Uniquely designed DSL: component reuse, sync/async & dynamic orchestration, multi-language scripting, nested rules, hot deployment and smooth refresh. If you can orchestrate LiteFlow, you can orchestrate AI.
Maestro: Netflix’s Workflow Orchestrator
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
µTask is an automation engine that models and executes business processes declared in yaml. ✏️📋
Temporal Go SDK
Workflow Engine by Optimajet, the embeddable workflow engine for .NET and C#. Approvals, state machines and long-running processes with a visual Workflow Designer, BPMN import and six databases.
Workflow Automation Engine
iWF is a Workflow-As-Code microservice orchestration platform offering an orchestration coding framework and service for building resilient, fault-tolerant, scalable long-running processes
Self-hosted workflows for coding-agent delivery. Orchestrate CodeBuddy, Codex and Claude Code with scripts and human approval gates. Includes Local workflows for coding assistants.
Simple but powerful DAG scheduler and dashboard
LittleHorse Server: Business-as-Code Platform for Microservices, Workflows, and Agents
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 🚀
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Execution engine powering Flowbaker, a no code platform to build, connect, and automate workflows.
The Frank!Framework is an easy-to-use, stateless integration framework which allows (transactional) messages to be modified and exchanged between different systems.
Machine is a workflow/pipeline library for processing data
Distributed batch data processing framework
Low-code database framework that fits your needs
Distributed, Scalable, Fault-Tolerant, Minimalistic Workflow Engine - No DAGs, No YAML, No Cumbersome Diagrams, Just Code
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines