This repo teaches you to take your Machine Learning project from your laptop to production
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Updated
Sep 28, 2026 - HTML
This repo teaches you to take your Machine Learning project from your laptop to production
mflow syncs local worktrees so AI agents and humans stop overwriting each other. It runs a small daemon per worktree, watches file changes, and relays encrypted updates through a shared room. Without it, parallel agents drift silently until git finds the conflict too late.
To associate your repository with the mflow topic, visit your repo's landing page and select "manage topics."