capability-store

The paper introduces Phronix, a capability-centric learning paradigm that lets LLM-based agent harnesses acquire, validate, and reuse capabilities from their own executions via a predictor-validator-corrector loop, achieving 93-95% first-attempt success on recurring tasks and boosting cheaper models from ~28% to ~90% on SWE-bench.