Long-horizon AI research requires treating the problem as systems coordination over persistent state rather than pure reasoning—agents perform better when they can reference and build upon saved artifacts than when relying on conversation history alone.
AiScientist is a system that enables AI agents to autonomously conduct multi-day ML research projects by combining hierarchical task orchestration with a file-based workspace that preserves state across stages.