Factual package intelligence from PyPI
Git-first, hypothesis-forcing experiment tracking for agent-driven ML research. Bundles a research harness for the H->E->F artifact model, uses signac for local execution/run state, and bridges to W&B for remote observability.
pip install agentic-experiments
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
agentic-experiments publishes 1 wheel and 1 source archive for version 0.6.1. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
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 .