FRAMERAI

FramerAI is an open-source multimodal AI platform currently under active development, with the goal of providing a complete, self-hosted foundation model capable of understanding and generating text, code, images, video, and audio. Rather than relying on proprietary APIs or external teacher models, FramerAI is being built entirely from scratch using locally provided datasets, giving developers full ownership over the model, training process, and deployment infrastructure.

The project combines an autoregressive transformer language model with dedicated vision and audio encoders alongside diffusion-based generation modules for images, video, and audio. These components are designed to work together within a unified architecture, enabling multimodal conversations, code generation, image understanding, speech transcription, and generative media capabilities through a single platform.

Beyond the model itself, FramerAI includes the complete development ecosystem required to build and deploy multimodal AI applications. The repository provides a Python training pipeline for tokenizer creation, model building, training, checkpoint exporting, and inference, a Node.js and Express backend exposing REST and WebSocket APIs, and a React-based web interface for interacting with the model.

FramerAI is designed to support multiple model sizes, custom local datasets, Docker-based deployment, and modular development, making it suitable for researchers, developers, and organizations interested in building self-hosted AI systems. As development continues, new capabilities, performance improvements, and additional multimodal features will be introduced while maintaining the project's commitment to transparency, extensibility, and open-source development.