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BambooAI

An LLM-driven data analyst that works in a persistent Python kernel, one cell at a time, and reproduces its own results before it reports them. Give it a dataset and a question; it writes and runs code, reads the output, decides the next step, and ends with a report whose cited numbers have been re-executed in a fresh kernel. It runs on your machine with your own model keys; the code the model writes runs in a Docker container, not under your account.

pip install bambooai
bambooai serve

Requirements: Python 3.11 or newer, and Docker running. The first serve creates ~/bambooai, writes a .env there, builds the executor image and opens the browser. Put a model key in the .env (an OpenRouter key covers the default configuration) and start again.

Documentation, configuration and the source: https://github.com/pgalko/BambooAI

Hosted version: https://bambooai.org

BambooAI 1.x was a notebook library; it remains installable as bambooai<2.

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