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Release files for mseep-mcp-rememberizer-vectordb 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mseep_mcp_rememberizer_vectordb-0.1.7.tar.gz | 9.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mseep_mcp_rememberizer_vectordb-0.1.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.9 kB
Release files / mseep_mcp_rememberizer_vectordb-0.1.7.tar.gz
| Download URL | mseep_mcp_rememberizer_vectordb-0.1.7.tar.gz |
|---|---|
| Size | 9.9 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/6.2.0 CPython/3.11.13
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Release files / mseep_mcp_rememberizer_vectordb-0.1.7-py3-none-any.whl
| Download URL | mseep_mcp_rememberizer_vectordb-0.1.7-py3-none-any.whl |
|---|---|
| Size | 9.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
be412905eb2ef7a26e883f39313734498cb9b88c68a28b3062fb9db13dcb3182
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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/6.2.0 CPython/3.11.13
|
