Memorizing-Machine
A Machine that memorizes.
In order to launch it from the command line or as a Python subprocess:
echo "Theodotos-Alexandreus: Memorize this, machine." \
| uvx memorizing-machine \
--provider-api-key sk-proj-... \
--github-token ghp_...
Or, with a local pip installation:
pip install memorizing-machine
Set the environment variables:
export PROVIDER_API_KEY="sk-proj-..."
export GITHUB_TOKEN="ghp_..."
Then:
memorizing-machine -a multilogue.txt
Or:
memorizing-machine multilogue.txt > response.txt
Or:
memorizing-machine -a multilogue.txt > tmp && echo tmp > multilogue.txt
Or use it in your Python code:
# Python
import memorizing_machine
2 maintainers
Metadata
2 maintainers
Release files for memorizing-machine 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| memorizing_machine-0.0.3.tar.gz | 16.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| memorizing_machine-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.8 kB
Release files / memorizing_machine-0.0.3.tar.gz
| Download URL | memorizing_machine-0.0.3.tar.gz |
|---|---|
| Size | 16.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
173ce2007c9239e0c89cca79f77d9ac54e5e26c08de79c13c9c5d09b42b9ab35
|
|
BLAKE2b-256 checksum How to use checksums |
838f0f6156c3b18c0563f45fe64f08569bd7550cef2cfa9dcc1849748d6e1672
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 14, 2026.
Transparency logRelease files / memorizing_machine-0.0.3-py3-none-any.whl
| Download URL | memorizing_machine-0.0.3-py3-none-any.whl |
|---|---|
| Size | 23.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
42dd6fbedf410175136f24f2da153e5bf374269685ff244f55e84b0135f49f45
|
|
BLAKE2b-256 checksum How to use checksums |
ddae2114548e6291c3dc22a892c7bb5f5630f34481f21f2312020df8d83ae8b2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 14, 2026.
Transparency logSecurity for memorizing-machine 0.0.3
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for memorizing_machine-0.0.3.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 14, 2026.
Transparency logA 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.
