Moshi is a foundation model that processes and generates both speech and text tokens for real-time conversational interaction. It uses Mimi, a streaming neural audio codec, to encode and decode audio streams. The repository provides multiple inference implementations: PyTorch for research, MLX for Apple Silicon devices, and Rust for production deployments. It also supports related models like Hibiki for speech translation.