Thin control plane for Jupyter notebook execution with jobs, attribution, and runtime lifecycle
Project description
Hypernote
- Notebook-first - Hypernote is a thin execution control plane on top of Jupyter shared documents.
- One notebook truth - notebook edits, execution, and late-open JupyterLab views all operate on the same logical document.
- Agent-first surface - the Python SDK is primary, and the CLI is a thin shell over it.
- Ephemeral control plane - Jupyter owns durable
.ipynbcontents and outputs; Hypernote owns in-memory runtimes, jobs, and attribution.
What it ships
- notebook-first SDK in
hypernote/sdk.py - agent-first CLI in
hypernote/cli/main.py - Jupyter server extension for execution and runtime control
- notebook-scoped runtime lifecycle with attach, detach, recovery, and stop
- job polling and
input()round-trips for headless execution - live-server and browser regression coverage for shared-document behavior
Quick start
uv sync
uv run hypernote --help
uv run hypernote create tmp/demo.ipynb
uv run hypernote ix tmp/demo.ipynb -s 'value = 20 + 22\nprint(value)'
uv run hypernote status tmp/demo.ipynb --full
Install tiers
hypernote- core + server + shared-doc runtime
- use this for real Hypernote SDK/server usage
hypernote[lab]- adds the JupyterLab collaboration bundle
- use this when you want the full collaborative JupyterLab experience
hypernote[dev]- adds test, lint, browser, and local dev tooling
- use this for local development and CI
Examples:
uv sync
uv sync --extra lab
uv sync --extra dev
Mental model
Jupyter owns:
- notebook persistence
- shared YDoc document state
- kernel and session primitives
- notebook rendering in JupyterLab
Hypernote owns:
- runtime lifecycle around a notebook
- job coordination and stdin round-trips
- actor attribution
- SDK, CLI, and thin REST handlers
Documentation
Verification
For local development and CI, install the dev tier first:
uv sync --extra dev
uv run ruff check hypernote tests
uv run python -m pytest -q
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