We present TRUSTMEM-Hayula, an integrated approach combining TRUSTMEM's trustworthy memory consolidation with EvoTest's evolutionary self-improvement, deployed within the Siyaq context engineering framework. TRUSTMEM (arXiv:2606.25161) introduces a Memory Transition Verifier and preference-guided reinforcement learning that achieves 79% reduction in memory corruption by verifying transitions before consolidation. EvoTest (arXiv:2510.13220, ICLR 2026) introduces an Evolver Agent that analyzes exe
1@techreport{hayulalab2026trustmemhayula,
2 title={Hayula Research Paper — Hayula Research},
3 author={Hayula AI Lab},
4 year={2026},
5 url={https://huggingface.co/hayulalab/trustmem-hayula-paper}
6}
