conkernel

conkernel gives an LLM agent a persistent, real Jupyter kernel: send code, wait for the result, read concise text, and keep the Python state. It is the sibling of clikernel, which wraps a tiny in-process shell; conkernel runs a full kernel (ipymini by default) in its own process, driven through conkernelclient, so interrupt and restart are real protocol operations and the kernel process is fully isolated from the server.

There are two frontends over one core:

• conkernel – a plain stdin/stdout process using clikernel’s delimiter protocol, for harnesses that drive background terminals.
• conkernel-mcp – an MCP server exposing execute, restart, interrupt, and eval_expr tools.

Picking a kernel

No kernelspecs. A kernel is just a Python module launchable as python -m <module> -f <connection_file> – ipymini (the default) and ipykernel_launcher both qualify. Pass --kernel <module> to either frontend, or set a default in $XDG_CONFIG_HOME/conkernel/kernel (a one-line file naming the module).

The CLI protocol

clikernel’s, including its loading banner: please wait, loading..., then loading complete. first delimiter:, then the random per-session delimiter signalling readiness (launching the kernel process can take a moment, so the banner reports progress before the delimiter arrives). Then one line per request (or a -- block for multiline code, terminated by the delimiter), a . acknowledgement before execution, rendered outputs, then the delimiter. exit() or quit() on its own line stops the worker. SIGINT interrupts the running code – state survives, and an idle kernel ignores it.

Development

pip install -e .[dev]

Versioning

Version lives in conkernel/__init__.py as __version__. Bump it with:

ship-bump --part 2   # patch
ship-bump --part 1   # minor
ship-bump --part 0   # major

Release

1) Ensure your GitHub issues are labeled (bug, enhancement, breaking). 2) Run:

ship-gh
ship-pypi