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.
Quick Links
- Getting Started — installation, agent setup, and first chat
- User Guide — chat features, notebook tools, and custom MCP servers
- Contributor Guide — how to contribute to Jupyter AI
- Developer Guide — building custom agents and MCP servers
- Troubleshooting — common issues and solutions
Governance
Jupyter AI is currently under incubation as part of the JupyterLab organization.
1 maintainer
Metadata
1 maintainer
Release files for jupyter-ai 3.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| jupyter_ai-3.2.0.tar.gz | 30.8 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jupyter_ai-3.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.8 MB
Release files / jupyter_ai-3.2.0.tar.gz
| Download URL | jupyter_ai-3.2.0.tar.gz |
|---|---|
| Size | 30.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
278fb7534c187aa2ded4ffefdb0e3a41ddc4b039eaee4351e4c9d07bdd5ecbd4
|
|
BLAKE2b-256 checksum How to use checksums |
01a272b26386463988f026f504a8ba04ff5aa66c30845774164af1b9776b7a0d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / jupyter_ai-3.2.0-py3-none-any.whl
| Download URL | jupyter_ai-3.2.0-py3-none-any.whl |
|---|---|
| Size | 5.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b207302b3a452f5eb2457626e9d5473ac74dafe5ea0f1c890f28ef76009bc675
|
|
BLAKE2b-256 checksum How to use checksums |
2cc27b98cb3b5ef2554fe77a7786ae60419b127e28f4581f36aa672bfe3c6fcf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Security for jupyter-ai 3.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
