ml-ralph

About ml-ralph

ml-ralph An autonomous ML engineering agent with a terminal user interface. ml-ralph automates the experiment loop — planning, execution, analysis, and learning extraction — so you can iterate on ML projects faster. You define your goals through a PRD. The agent works through stories autonomously, runs experiments, tracks metrics, and accumulates structured learnings across iterations. Getting started That's it. Run it inside any ML project directory and the TUI will launch in tmux.

Quick Facts

Compatible Skills

These tools work well together with ml-ralph for enhanced workflows:

• verify — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
• claude-code-wakatime — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (53%)
• garcon — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions