Open Source AI Frameworks

AI frameworks provide reusable components for building, training, and running artificial intelligence applications. They help developers connect models with data, manage processing workflows, and handle tasks such as inference, evaluation, and deployment. By offering shared interfaces and abstractions, frameworks can reduce repetitive engineering work and make AI systems easier to adapt as models and requirements change.

Open source tools in this area range from machine learning libraries and model-serving systems to frameworks for retrieval, orchestration, and agent workflows. When choosing one, consider its maturity, license, maintenance activity, hardware and language requirements, documentation, and compatibility with your models and data systems. These frameworks are useful to developers, researchers, and organizations building or integrating AI applications.