"Stateless Language Agents: Scaling Long-Horizon Automated Research" Long-running AI research agents waste tokens revisiting old ideas or repeating experiments. Stateless Language Agents (SLA) instead store research progress externally, giving each agent a fresh, focused context while an Advisor coordinates experiments. This setup outperforms competing frameworks on software engineering and optimization tasks, matching the strongest baseline on one kernel optimization task with 93% fewer…