gepa-ai/gepa

Optimize prompts, code, and more with AI-powered Reflective Optimization

About the project

GEPA is a framework that improves text-based system parameters, such as prompts, code, agent designs, and configurations, by using language-model reflection and evolutionary search. Developers and researchers use it to test alternatives against evaluation metrics and refine systems from execution traces. Catalogue add-ons represent workflows for applying GEPA to coding-agent optimization.

This repository also configures its own agents. See what gepa tells them →

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gepa-ai/gepa

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Optimize any scorable text artifact (prompts, code, configs, agent scaffolds, search solutions) with optimizeanything — one evaluator-driven API across the GEPA optimizer (reflective evolutionary search, the default), AutoResearch, and MetaHarness backends, with a best-of-N baseline for comparisons.

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