I build runcell, an AI Agent in Jupyter Lab. It can understand context (data, charts, code, etc) in your jupyterlab and write code for you.

Runcell has built-in tools that can edit or execute cells, read/write files, search web, etc.

Comparing with AI IDE like cursor, runcell focus on building context for code agent in jupyter environment, which means the agent can understand different types of information in jupyter notebook, access kernel state, edit/execute specific cells instead of handling jupyter as static ipynb file.

Comparing with jupyter ai, runcell is more like an agent instead of a chatbot. It have access to lots of tools to work and take actions by its own.

You can use runcell with simple "pip install runcell" to start.

Any comments and suggestions are welcome.