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  1. Home
  2. /Repositories
  3. /Prism-Shadow/penguin-harness
Read original β†—
repoGitHubTrust 82 Β· PrimaryPublished 25d agoLive Β· 22d ago

Prism-Shadow/penguin-harness

🐧 Your Automated Agent Builder Lives on Your Desktop: The Best Self-Improving Harness

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Paper β†’ model β†’ repo connections mined from source citations (Tier-1 exact match).

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Every edge carries a method, confidence, and the source snippet that justified it β€” so bad links are debuggable.

  • PossiblePossibly related (embedding) Β· 50%Training a harness for model-agnostic and task-environment-agnostic capability improvements with PyTorch-like framework [P] β†’
  • PossiblePossibly related (embedding) Β· 47%LingBot-Vision: masked boundary modeling for self-supervised pretraining (0.296 NYUv2 linear-probe RMSE at 1.1B vs 0.309 for DINOv3-7B, trails on ImageNet); weights in 4 sizes[R] β†’
  • PossiblePossibly related (embedding) Β· 45%Best AI 3D generator in 2026, breakdown after testing 5 tools β†’
  • PossiblePossibly related (embedding) Β· 45%This is why we need local models and opensource harnesses β†’
  • PossiblePossibly related (embedding) Β· 45%Harness Engineering β†’

Covers

newsTraining a harness for model-agnostic and task-environment-agnostic capability improvements with PyTorch-like framework [P]newsLingBot-Vision: masked boundary modeling for self-supervised pretraining (0.296 NYUv2 linear-probe RMSE at 1.1B vs 0.309 for DINOv3-7B, trails on ImageNet); weights in 4 sizes[R]newsBest AI 3D generator in 2026, breakdown after testing 5 toolsnewsThis is why we need local models and opensource harnessesnewsHarness Engineering

Related across the graph

newsTraining a harness for model-agnostic and task-environment-agnostic capability improvements with PyTorch-like framework [P]newsLingBot-Vision: masked boundary modeling for self-supervised pretraining (0.296 NYUv2 linear-probe RMSE at 1.1B vs 0.309 for DINOv3-7B, trails on ImageNet); weights in 4 sizes[R]newsHarness EngineeringnewsThis is why we need local models and opensource harnessesnewsBest AI 3D generator in 2026, breakdown after testing 5 tools
Knowledge path·NTraining a harness for model-agnostic and task-environment-agnostic capability improvements with PyTorch-like framework [P]→NLingBot-Vision: masked boundary modeling for self-supervised pretraining (0.296 NYUv2 linear-probe RMSE at 1.1B vs 0.309 for DINOv3-7B, trails on ImageNet); weights in 4 sizes[R]→NHarness Engineering→RPrism-Shadow/penguin-harness

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