kerneta-engine
The Kerneta engine behind DaiDocs (.dai), the open plain-text file format for AI memory.
This is the Python name for the project. The engine, the MCP server and the
.dai format live at https://github.com/Kerneta/daidocs and https://daidocs.com.
A Python reader for .dai files is on the roadmap; when it ships it will be
published here. Until then this package reserves the name for the project.
Apache-2.0.
Release files for kerneta-engine 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kerneta_engine-0.0.1.tar.gz | 1.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kerneta_engine-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.3 kB
Release files / kerneta_engine-0.0.1.tar.gz
| Download URL | kerneta_engine-0.0.1.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
|
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? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Release files / kerneta_engine-0.0.1-py3-none-any.whl
| Download URL | kerneta_engine-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.7 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|