Name:
aiFlows
Description:
Modular AI collaboration framework
Professor — Lab:
Robert WestData Science Lab

Home page:
aiFlows
Layman description:
aiFlows simplifies the design and implementation of complex workflows involving humans, AI systems, and tools. It enables modularity by allowing Flows to be stacked like LEGO blocks, reusability by sharing Flows on the FlowVerse, remote peer-to-peer collaboration between Flows, and concurrent execution of multiple Flows. The goal is to empower researchers and practitioners with complete control and customizability over their AI workflows.
Technical description:
aiFlows is a framework centered around Flows and messages. Flows are independent, self-contained computational building blocks that can complete semantically meaningful units of work. Flows communicate via a standardized message-based interface, enabling modularity, reusability, remote peer-to-peer collaboration, and concurrency.
Project status:
active — entered showcase: 2024-04-16 — entry updated: 2024-04-16

Source code:
Lab Github - last commit: 2024-04-12
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Framework
Programming language:
Python
License:
MIT