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Announcing Anvil: The AI-Native, Open-Source Object Store

· 4 min read
Courtney Robinson
Courtney Robinson
Co-founder, engineer

Introducing Anvil — the AI-Native Object Store​

Fast, self-hosted, S3-compatible storage designed for models, safetensors, gguf files, ONNX artifacts, and large ML datasets.

GitHub: https://github.com/worka-ai/anvil
Latest Release: https://github.com/worka-ai/anvil/releases/latest Docs: https://worka.ai/docs/anvil/getting-started
Landing Page: https://worka.ai/anvil

Why We Built Anvil​

We didn’t set out to build a new object store.
We set out to build our app — and everything broke in predictable, painful ways.

  • Git LFS choked on multi‑GB LLM model files
  • Hugging Face repos weren’t ideal for private/internal hosting
  • S3 and MinIO treated model files as dumb blobs
  • Fine‑tunes duplicated base checkpoints 10–20×
  • Downloading 7B/13B files repeatedly wrecked developer velocity
  • Users couldn’t run models locally without full downloads
  • Serving models from home labs, laptops, and edge devices was unreliable

There was no storage layer designed for AI workloads — only general-purpose object stores that weren’t aware of model formats or inference patterns.

So we built one.