SMCA: Stud Memory Combat Agents

SMCA Phase 3 presents a multi‑agent architecture designed to improve the robustness and traceability of generated responses. It integrates a persistent associative memory (StudSar) with temporal decay and resurrection mechanisms (TMDR and God Protocol), an Arena of 10 competing agents that produce a Champion response, a Red Agent (Ziora) performing adversarial audits, and a meta‑cognitive Judge that combines base confidence with a Champion Resilience Score (CRS). Experimental results highlight the critical role of persistent memory in calibrating trust and reducing hallucinations; limitations include a small dataset and reliance on auto‑resolve instead of human escalation. Future work targets large‑scale validation, human‑in‑the‑loop escalation, and improved robustness metrics.