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arXiv AI By Yuxuan Zhu, Mohammad Mohammadi Amiri, Pin-Yu Chen, Keerthiram Murugesan

SkillMem: Compact External Skill Memory for Latent Multi-Agent Reasoning

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SkillMem introduces a compact external latent memory for reusable skills in latent multi‑agent systems, enabling role‑conditioned cross‑attention to guide agents without storing large per‑skill parameters. Trained via behavioral distillation, SkillMem matches the effect of textual skills while keeping the backbone frozen. Across six benchmarks and Qwen3 models from 4B to 14B, it delivers strong gains for smaller backbones, reduces skill storage by over 38×, and achieves up to 4.23× inference speedup.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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