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Jupyter AI

An open source extension that connects AI agents to computational notebooks in JupyterLab.

Jupyter AI brings agentic AI to JupyterLab. It provides a native chat UI where you can collaborate with frontier AI agents — including Claude, Codex, GitHub Copilot, Gemini, Goose, Kiro, Mistral Vibe, and OpenCode — all integrated through the Agent Client Protocol (ACP). Agents are automatically detected when their dependencies are installed, so getting started is as simple as installing Jupyter AI and the agent of your choice.

Agents in Jupyter AI can read and write files, run terminal commands, and interact with notebooks through a built-in Jupyter MCP server. A permission system gives you guardrails over agent actions — agents request approval before writing files or executing commands. You can also create multiple concurrent chats, drag and drop files or notebook cells as context, and collaborate in real time with other users connected to the same server.

Jupyter AI is designed to be flexible and extensible. You can add custom MCP servers to give agents access to domain-specific tools, resources, and prompts. Developers can build and register their own AI personas using the entry points API. By building on open standards like ACP and MCP, Jupyter AI avoids vendor lock-in and gives you access to the full ecosystem of compatible agents and tools.

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Governance

Jupyter AI is currently under incubation as part of the JupyterLab organization.

Project links

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Owner

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1 maintainer

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Credits

Author: Project Jupyter

GitHub Statistics

Data verified by PyPI on Sep 3, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

BSD License (BSD 3-Clause License)

Requires

Python >=3.9

Provides Extra

docs jupyternaut magics rtc rtc-jsd

Tags

jupyter jupyter-ai jupyterlab jupyterlab-extension

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Report project as malware

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