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DaggerML turns research computations into reproducible, shareable building blocks. Share functions as well as results: run them on your own inputs without reconciling environments, and reuse completed work when inputs match. Each result retains its provenance, and its computation remains runnable as long as the infrastructure it needs exists.

pip install daggerml

mkdir research-demo
cd research-demo
dml init

{"ahead":null,"behind":null,"branch":"main","branches":[],"commit":null,"mode":"attached","num_indexes":0,"upstream":null}