Factual package intelligence from PyPI
M-flow builds semantic memory layers that help LLMs reason over your data with structured knowledge graphs.
pip install mflow-ai
PyPI declares 104 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<4.0.0,>=3.10.0>=1.2.0<1.0.0,>=0.19.0<2,>=1.13.0>=5.6.0<16.0.0,>=14.0.1<1.0.0,>=0.115.0<2.0.0,>=1.2.0<2.0.0,>=1.8.0<4,>=3.1.0<0.12,>=0.11.0<1.0.0,>=0.22.0The compact report shows 12 of 104 declarations. The interactive dependency graph loads the complete metadata.
mflow-ai publishes 1 wheel and 1 source archive for version 0.3.6. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .