I try to get inspired by the "Systems as a Living Things" philosophy and aim, step by step, to create an auto-adaptive, resilient, distributed system. Currently, neurons live in their own thread in a session (world), and send signals (messages) to each other through patches (channels). You can also connect to a network-bus neuron to register your own neurons written in any other technology and have them interact with the existing neurons inside the world. Nallely offers an API to easily code your own reactive neurons, and provides a mobile-friendly GUI for patching everything visually.

As anyone posting something based on Python, I can already hear: "no, Python's bad, think about the performances, think about the children".

We all know about Python performances (we've all seen the animation with the moving balls and stuff), but the focus here is on dynamic and emergent behaviors, extensibility, and run time adaptability over extreme performance. Even though Nallely is written in pure Python, it runs on a Raspberry Pi 5 (ok, a powerful one), consuming less than 10% CPU on a normal usage and around 40MB of memory.

And, as someone mentioning Smalltalk, I can already hear: "Why didn't you write it in Smalltalk"? (replace Smalltalk by your prefered dialect)

I like Smalltalk, but I also like Python. Nailed it, perfect justification. Jokes aside, IMO Smalltalk is "Systems as Living Things" pushed at its extreme for designing a language, and I admire that. With Nallely, I want to explore the same philosophy: independent musical/signal-processing neurons, without relying on Smalltalk, while benefiting from Python's deployment and ecosystem advantages (compared to Smalltalk).