Production-ready platform for agentic workflow development.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
An open source payments switch written in Rust to make payments fast, reliable and affordable
Define and run multi-container applications with Docker
the best agent harness
Intelligent automation and multi-agent orchestration for Claude Code
Actor-based state management & orchestration for complex app logic.
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
Complete container management platform
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
☁️ Build multimodal AI applications with cloud-native stack
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Turns Data and AI algorithms into production-ready web applications in no time.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
An orchestration platform for the development, production, and observation of data assets.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Trigger.dev – build and deploy fully‑managed AI agents and workflows
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.