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judstephenson/agents
agents is a machine learning model from judstephenson. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repo is a smelt registry: an index.json, four thin agents (~46 KB each), and the content-addressed blobs they share. Install an agent by name and it becomes a command on your machine — no daemon, no API key, no c…
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Updated Jun 11, 2026
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From the Hugging Face model README
This repo is a smelt registry: an index.json, four thin agents (~46 KB each), and the content-addressed blobs they share. Install an agent by name and it becomes a command on your machine — no daemon, no API key, no cloud.
brew install --HEAD Jud/smelt/smelt
smelt install triage@judstephenson/agents
tail -1 error.log | smelt run triage | jq .severity
| Agent | What it does | Install |
|---|---|---|
triage | Reads a log line, returns severity, component, summary | smelt install triage@judstephenson/agents |
commit | Writes the commit message from your staged diff | smelt install commit@judstephenson/agents |
redact | Replaces PII with typed placeholders before text leaves your machine | smelt install redact@judstephenson/agents |
extract | Invoices, receipts, contacts → typed records | smelt install extract@judstephenson/agents |
All four are sealed builds of Qwen 3.5 0.8B with a persona (prefilled KV state) and a JSON-schema output contract (llguidance token trie) baked into the artifact. Output is schema-valid by construction; cold start to first token is ~100 ms on Apple Silicon.
The first install downloads the shared base model (~556 MB once, hash-verified into a local content-addressed store). Every further agent on the same base is a ~46 KB tarball plus its baked prompt snapshot — installs in about a second. Each agent's prompt + schema recipe is in the smelt repo's demo/ directory; rebuild or rebake them with smelt bake.