muGen

muGen is a fair-code licensed microframework designed for prototyping and deploying multimodal/multichannel Generative AI applications. Written in Python, it offers a flexible and extensible codebase, allowing developers to integrate various AI technologies and vendors for rapid development and deployment.

muGen is a microframework for building multimodal/multichannel Generative AI applications, directly aligning with the core concept. It explicitly mentions support for various AI models (LLMs), vector storage, and communication platforms, which implies API access. The framework's architecture supports extensions for different functionalities, including RAG (Retrieval Augmented Generation) and context extensions, which can be seen as a form of fine-tuning or custom model adaptation. While not explicitly stated as 'safety & alignment framework', the focus on enterprise solutions and the nature of a framework for building AI applications suggest that safety and governance would be a critical aspect for enterprise adoption. The mention of 'multimodal/multichannel' directly covers multimodal AI. GitHub itself, where muGen is hosted, offers features like Copilot (code generation, conversational AI), GitHub Models (fine-tuning/custom models), and Advanced Security (safety & red teaming), which are relevant to the broader AI platform ecosystem.