@dreski
To meet this need, agent development environments should offer structured ways to build, simulate, and iterate on LLM-driven systems—comparable to how circuit simulation tools support electronic design. Such environments would ideally enable modular construction of agents, integration of diverse memory models, inspection of internal states, and dynamic task scheduling. Making these tools available to developers, researchers, and hobbyists could accelerate innovation in AI agent design by opening up experimentation beyond centralized labs.
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