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The Harness Stopped Turning Recovery Into a Model Failure

Prime Agent keeps histories, memories, skills and subagent specifications across long-running coding and evaluation trajectories.

Published Updated Story ID: mp-2026-08-25-008
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Summary

Prime Agent keeps histories, memories, skills and subagent specifications across long-running coding and evaluation trajectories.

The open-source harness pairs a persistent IPython environment with standardized execution, recovery, verification and resource accounting. Its reported evaluations include an ARC-AGI-3 RHAE Best@1 increase from 30 to 95.5 percent and competitive results across coding, kernel and emulator tasks; those are harness-specific benchmarks, not general capability proof.

Why it matters

Prime Agent keeps histories, memories, skills and subagent specifications across long-running coding and evaluation trajectories.

Limits and context

  • Its reported evaluations include an ARC-AGI-3 RHAE Best@1 increase from 30 to 95.5 percent and competitive results across coding, kernel and emulator tasks; those are harness-specific benchmarks, not general capability proof.

Key claims

  1. Prime Agent keeps histories, memories, skills and subagent specifications across long-running coding and evaluation trajectories.

    Qualification: Its reported evaluations include an ARC-AGI-3 RHAE Best@1 increase from 30 to 95.5 percent and competitive results across coding, kernel and emulator tasks; those are harness-specific benchmarks, not general capability proof.

    Evidence: source-2026-08-25-008

Sources

  1. arXiv preprint 2608.23552arXiv · primary research

Corrections

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