superred-optimizer-gepa-agentic is a Python package that implements the GEPA (Generative Evolutionary Prompt Adaptation) method for reflective prompt evolution. It is designed to optimize prompts targeting superred agent systems, primarily for AI safety, red-teaming, and security research. The tool is distributed as open-source under the MIT license.
superred-optimizer-goat is a Developer Tools project. It focuses on generating and optimizing multi-turn jailbreaks for testing LLM safety and robustness. It is built as an open-source project for AI security researchers. superred-optimizer-goat is open source under the MIT license. It ships for the web and the command line.
It is developed by RoldSI (United States), and it first shipped in 2026. Among its 3 catalogued features are Jailbreak Optimization, Multi-turn Testing, and Red Teaming. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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