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Shannon is an autonomous AI penetration testing system built to find and prove real, exploitable vulnerabilities in web applications rather than stopping at static warnings or best-guess alerts. It focuses on “proof by exploitation,” meaning it actively hunts for attack vectors in your code and then attempts to execute end-to-end exploits to demonstrate impact. The project blends source-aware analysis with automated web interaction so it can validate issues like injection flaws,...

T3MP3ST is a multi-agent offensive security framework for authorized red-team research, CTFs, and security education. It wraps an existing AI coding agent with orchestration for reconnaissance, exploit exploration, validation, and reporting. The project can work through a browser War Room or CLI while relying on agents such as Claude Code, Codex, Hermes, or locally hosted models. It emphasizes reproducible benchmark claims, keyless operation, and a clear status table that separates stable capabilities from experimental or roadmap work. ...