Notebook Agent

AI copilot for Google Colab—like Cursor, but notebook-native. It plans goals and autonomously writes, edits, and runs cells to complete ML and data tasks end-to-end. Turn Colab into an AI teammate. This extension is purpose-built for notebooks: give it a goal (“fine-tune this model,” “clean and join these datasets,” “run an evaluation suite”), and it will plan the steps and autonomously create, edit, reorder, and run cells until the task is done, while keeping everything transparent inside your notebook. What it can do: - Plan & execute: Breaks high-level goals into an actionable notebook plan and executes it cell-by-cell. - Write & refactor code: Generates new cells, improves existing ones, parameterizes scripts, and adds helpful Markdown. - Run & monitor: Installs dependencies, manages runtime quirks, runs cells in sequence, and surfaces outputs/results. - Debug & recover: Detects errors, proposes fixes, and reruns automatically to unblock progress. - Works with your stack: PyTorch, TensorFlow, scikit-learn, pandas, and common ML/data workflows. Great for: - Model training and fine-tuning - Data prep, cleaning, and feature engineering - Exploratory analysis and visualization - Experimentation and evaluation loops Describe what you want; watch it build and run the notebook for you, so you can focus on ideas, not boilerplate. Note: Notebook Agent is a HyperWrite product, and all of HyperWrite's policies apply.