herethere
Run Python interactively inside live apps and devices.
herethere starts a small SSH-backed server inside a Python process, then lets you connect from the there CLI, another Python session, or a Jupyter notebook to inspect, modify, and interact with the namespace of that running process.
It was created for workflows where Python is running inside an app, device, or environment that is awkward to interact with directly. The same idea is useful for Raspberry Pi and robotics projects, Kivy/mobile apps, containers, long-running experiments, server-side apps, and other cases where logs or a separate remote shell are not enough.
herethere is based on the AsyncSSH library. AsyncSSH provides the SSH toolkit; herethere adds a small Python, CLI, and Jupyter workflow layer on top.
- Code repository:
- Documentation:
Features
Execute Python snippets inside the namespace of a live target process.
Connect using the there CLI, Python code, or Jupyter notebooks with %connect-there and %%there.
Retrieve values, view logs, run shell commands, and transfer files.
Produce structured JSON output for scripts and coding agents.
Use SSH authentication and encrypted transport through AsyncSSH.
Generate reviewable notebook cells from natural-language requests with %%there ai.
Installation
Install herethere in the Python environment that will start the server:
pip install herethereIf you want to connect from Jupyter using the IPython magics, install the magic extra in the notebook/client environment:
pip install "herethere[magic]"Quickstart
Target process
Start herethere inside the Python process you want to interact with.
from herethere.here import ServerConfig, start_server
state = {"speed": 1}
await start_server(ServerConfig.load(prefix="here"), namespace=globals())Terminal client
Run code or retrieve a value from the target process:
there run --code "state['speed'] = 3"
there get "state"Use structured output for scripts and coding agents:
there --json get "state"Jupyter notebook / client
Connect from your local Jupyter notebook:
%load_ext herethere.magic
%connect-thereUse the %%there cell magic to inspect variables, call functions, or update state while the target process keeps running:
%%there
print(state)
state["speed"] = 3
print(state)Agent skill
herethere bundles an agent skill for using the there CLI. Install it for your project with Library Skills:
uvx library-skillsTrust model
A connected client can execute Python code inside the target process. Treat access to herethere like access to a Python REPL running inside your app.
Use it only for development workflows where you control both sides of the connection. Do not expose it publicly or give access to untrusted users.
1 maintainer
Metadata
1 maintainer
Release files for herethere 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| herethere-0.3.3.tar.gz | 66.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| herethere-0.3.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 134.8 kB
Release files / herethere-0.3.3.tar.gz
| Download URL | herethere-0.3.3.tar.gz |
|---|---|
| Size | 66.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.22
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Release files / herethere-0.3.3-py3-none-any.whl
| Download URL | herethere-0.3.3-py3-none-any.whl |
|---|---|
| Size | 68.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.22
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