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IBM Research compares its ALTK-Evolve method to ACE, both agentic-memory systems that let LLM agents learn reusable lessons from past trajectories. ALTK-Evolve delivers individually retrievable guidelines instead of a single evolving playbook, reducing token usage while preserving non-compressed lessons with support counts.