Memory-Machine
A machine enhancing the memory function of Abstract Intellect.
In order to launch it from the command line or as a Python subprocess:
echo "Theodotos-Alexandreus: What do you remember about that, machine?" \
| uvx memory-machine \
--provider-api-key sk-proj-... \
--github-token ghp_...
Or, with a local pip installation:
pip install memory-machine
Set the environment variables:
export PROVIDER_API_KEY="sk-proj-..."
export GITHUB_TOKEN="ghp_..."
Then:
memory-machine -a multilogue.txt
Or:
memory-machine multilogue.txt > response.txt
Or:
memory-machine -a multilogue.txt > tmp && echo tmp > multilogue.txt
Or use it in your Python code:
# Python
import memory_machine
2 maintainers
Metadata
2 maintainers
Release files for memory-machine 0.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| memory_machine-0.0.4.tar.gz | 16.2 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| memory_machine-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.7 kB
Release files / memory_machine-0.0.4.tar.gz
| Download URL | memory_machine-0.0.4.tar.gz |
|---|---|
| Size | 16.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / memory_machine-0.0.4-py3-none-any.whl
| Download URL | memory_machine-0.0.4-py3-none-any.whl |
|---|---|
| Size | 23.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
aa4d8038ebc640f3748a68d4a40e94c97775250f4932dc663604d98fae78dd8c
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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Signed by GitHub Actions, verified by PyPI on Jun 14, 2026.
Transparency logSecurity for memory-machine 0.0.4
Provenance
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Attestation for memory_machine-0.0.4.tar.gz
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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.
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