Compared to some other tools that were posted here recently, it operates at a rather lower level - the branching points of the tree are single tokens=words/word fragments rather than "prompts" and "responses", and you can see the probability/surprisal levels for every single token of a text that you can edit, which opens up some interesting applications.
I have made a video showcasing its use to investigate and debug a small DeepSeek-R1 distill's reasoning process here: https://www.youtube.com/watch?v=GXWZPpVI0zU . Towards the end of the video, I also briefly address a more out-there application (natural-language reasoning "spreadsheets").
I'm making the source available under GPLv3, and there are Windows binary builds available (depending on your CUDA situation, installing them might not be a one-click affair as you may need to grab the appropriate version of llama.cpp DLLs for your system).