MemStrata Conversational
This macOS wheel installs the compiled MemStrata Conversational runtime. The proprietary implementation is not distributed as Python source.
After installation, run memstrata-conversational init.
The 180-day trial, device limits, subscription enforcement, consent and onboarding use the same production services as the desktop application.
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Metadata
1 maintainer
Release files for memstrata-conversational 0.7.19
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| memstrata_conversational-0.7.19-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| memstrata_conversational-0.7.19-py3-none-manylinux_2_28_x86_64.whl | Python 3 | none | Linux glibc 2.28+ x86-64 | Details |
| memstrata_conversational-0.7.19-py3-none-macosx_15_0_arm64.whl | Python 3 | none | macOS 15.0+ ARM64 | Details |
Total release size: 357.7 MB
Release files / memstrata_conversational-0.7.19-py3-none-win_amd64.whl
| Download URL | memstrata_conversational-0.7.19-py3-none-win_amd64.whl |
|---|---|
| Size | 102.1 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / memstrata_conversational-0.7.19-py3-none-manylinux_2_28_x86_64.whl
| Download URL | memstrata_conversational-0.7.19-py3-none-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 155.1 MB |
| Tags | Linux glibc 2.28+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Transparency logRelease files / memstrata_conversational-0.7.19-py3-none-macosx_15_0_arm64.whl
| Download URL | memstrata_conversational-0.7.19-py3-none-macosx_15_0_arm64.whl |
|---|---|
| Size | 100.5 MB |
| Tags | Python 3 macOS 15.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Oct 12, 2026.
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