Audialab develops cutting-edge AI-driven software designed to assist musicians in creating unique drum samples and sound variations. Not limited to drum samples, Audialab's tools provide endless creative combinations for sample generation without using source recordings. This empowers artists to explore novel sonic territories while maintaining ethical AI principles. With instruments capable of playing via MIDI and generating infinite variations, Audialab integrates seamlessly into modern music production environments.

Musical-Agent-Systems offers a modular architecture where each musical agent encapsulates behavior models, event schedulers, and synthesis controllers. Users define agents via configuration files or code, specifying generative algorithms, response triggers, and communication protocols for ensemble coordination. The system supports real-time performance through efficient scheduling, enabling dynamic adaptation to external inputs or other agents' outputs. It includes core modules for pattern generation, machine learning–based style modeling, and MIDI/Open Sound Control (OSC) integration. With extensible plugin support, developers can add custom synthesis engines, analysis tools, or AI models. Ideal for academic research, interactive installations, and live algorithmic performances, the framework bridges computational creativity and practical music-making workflows.