Frozen Model Weights, Evolving Agents: ModularRSI Enables Harness Self-Improvement
ModularRSI freezes base model weights and evolves the agent's harness — system mechanisms like loop control, observation handling, tool use, context management, and task completion detection — through execution experience, achieving a 4.86-point gain on Terminal-Bench 2.0 that transfers across tasks, domains, and different base models.
