OpenFlow

OpenFlow addresses the challenge of orchestrating multi-step workflows in AI agent development: developers often need to manually chain multiple agent calls and conditional logic, leading to high code coupling and poor reusability.

Its practical role is to provide a lightweight agent harness that allows developers to define and run AI agent task chains as workflows, with typical use cases including multi-step data processing and automated decision pipelines.

The project is currently in an early stage (around 8 stars), and its feature scope and stability are not yet clear; documentation and community support are limited. Deployment requires cloning the GitHub repository locally, with no managed service available.

It is more suitable for independent developers or small teams looking to explore lightweight agent workflow orchestration, and less suitable for production environments that demand stability and ecosystem support.