IBM’s ALTK‑Evolve matches ACE accuracy while slashing token use
IBM Research’s ALTK‑Evolve builds an agentic memory of past trajectories without compressing them, using per‑lesson support counts. The system achieves the same performance as the ACE framework but needs far fewer tokens during inference, cutting LLM inference costs and speeding reasoning workflows.