// MetaSkill-Evolve // Great paper on self-improving agents. Most self-improving agents rewrite what the agent does and leave how it improve…

// MetaSkill-Evolve // Great paper on self-improving agents. Most self-improving agents rewrite what the agent does and leave how it improves frozen and hand-authored. That improvement procedure never adapts. New research closes that gap with MetaSkill-Evolve. It evolves the task skill on a fast loop and the improvement procedure itself on a slower one, both driven by the same pipeline applied to itself. Each branch carries five pipeline agents (Analyzer, Retriever, Allocator, Proposer, Evolver) sharing one frozen backbone, so the recursion adds no new model and no new training objective. Held-out accuracy over the raw backbone jumps +23.54 on OfficeQA and +16.09 on SealQA, with a smaller +1.92 on ALFWorld. Paper: https://arxiv.org/abs/2607.05297 Learn to build effective AI agents in our academy: https://academy.dair.ai/

Source: DAIR.AI (X) | 2026-07-07