What is Clusy?
A notebook with an AI agent built in. Describe the work, branch to try other ideas, and keep what holds up.
Clusy is a notebook with an AI agent built into it. You tell the agent what you want (load this file, clean these columns, fit a baseline model) and it writes the code and runs it. You read what comes back, change direction, or take over and type it yourself.
If you've used Jupyter, a lot of this will look familiar. Cells, a running kernel, output under each cell. What's new is the agent sitting next to the notebook, and the fact that you can branch the notebook without recomputing everything you've already loaded.
What's actually different
The agent does the work loop
It plans, writes a cell, runs it, reads the output, and decides what's next. It asks you when a call is yours to make.
Branching keeps your state
Fork the notebook at any cell and your loaded data and fitted models come with it. Try a second approach from the same starting point.
Real compute, only when you need it
Everything runs in an isolated sandbox. CPU is free, and you attach a GPU for the cells that actually train something.
Your notebooks aren't trapped
Notebooks are .ipynb-compatible. Commit them to GitHub as readable diffs,
download them, or publish to Hugging Face and Kaggle.
Who it's for
People who work with data and models: analysts, data scientists, ML engineers, researchers. You don't have to be one of those, but Clusy assumes you can read Python and a DataFrame and know roughly what you're trying to find. The agent does the typing. You make the calls.
What a session looks like
You start in chat and describe what you want. There's no notebook yet.
The agent plans the work, writes the first cells, and runs them. The notebook canvas opens once there's something to show.
You read the output and steer, either by replying in chat or editing a cell directly.
When you want to try something different, you branch instead of overwriting.
You keep the result: commit to GitHub, share a read-only link, or publish it.
Where to start
New here? Go to the Quickstart. Want the concepts first? Start with Projects & sessions and read the Core concepts section in order.