Ratel lets AI agents load only needed tools, slashing token costs
Ratel indexes every tool and skill into a searchable catalog, letting agents request just the capabilities required for each turn. By injecting only relevant items, it cuts token usage by up to 70% and restores model accuracy without any vector DB overhead.