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StableReported 2026-10-02 12:00

MILO: Automated Harness Discovery via Orchestrated Multi-Agent Evolution

MILO is a new framework that automates the design of agent harnesses through co-evolution of multiple agents, addressing the limitations of existing methods in exploring the combinatorial search space of harness design.

01

Who it touches

  1. 1MILO
  2. competes with →Fact
    2eight state-of-the-art harnessesTechnology
  3. uses →Fact
    3gpt-oss-120bModel
  4. uses →Fact
    4hierarchical lineage memory over island-based treesTechnology
  5. uses →Fact
    5Opus 4.8Model
  6. uses →Fact
    6orchestratorTechnology
02

Evidence

  • AarXiv cs.LGInstitution2026-10-02 12:00
    per-island mutator agents that rewrite complete harnesses using global search history and parent-specific feedback
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  • AarXiv cs.LGInstitution2026-10-02 12:00
    MILO-discovered harnesses outperform eight state-of-the-art harnesses and six search methods
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  • AarXiv cs.LGInstitution2026-10-02 12:00
    Harness design strongly affects long-horizon performance, yet its combinatorial search space demands substantial human effort that must be repeated as models c…
    View source