Stateless Language Agents: Scaling Long-Horizon Automated Research

Stateless Language Agents (SLAs) decouple research state from agent memory by using a central harness to manage candidate solutions and outcomes. This architecture prevents redundant work and token bloat in long-horizon tasks by reconstructing fresh, role-specific contexts for each stateless invocation rather than replaying entire conversation histories.