LLM agents

Google Research has introduced WikiSkill, a framework that lets AI agents build a persistent, growing knowledge base from past task attempts instead of discarding what they learn after each run. Tested across five models and five benchmarks, WikiSkill lifted average scores by 14 to 24 percentage points over baseline agents with no skill memory.

IBM Research introduces ALTK-Evolve, an agentic memory system that matches or beats ACE's accuracy on the AppWorld benchmark while cutting inference token costs by up to 86% through selective guideline retrieval instead of full-playbook injection.