Factual package intelligence from PyPI
Installable RAG + MCP skills framework with a reliability-loop workflow.
pip install rag-ai-scientist
PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.0.0>=6.0>=1.25>=1.3>=0.3>=0.3>=0.2>=0.1>=0.1>=0.1>=0.3>=0.5>=3.0>=1.23>=0.0.5>=0.10>=2.10>=6.1>=2023.0.0>=0.5>=1.3>=1.0>=0.5 when sys_platform == "linux">=0.5>=3.7rag-ai-scientist publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .