El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation

arXiv:2604.14609v1 Announce Type: new Abstract: AI for science promises to accelerate the discovery process. The advent of large language models (LLMs) and agentic workflows enables the expediting of a growing range of scientific tasks. However, most of the current generation of agentic systems depend on static, hand-curated toolsets that hinder adaptation to new domains and evolving libraries. We present El Agente Forjador, a multi-agent framework in which universal coding agents autonomously f