# agents-md-agent — "Hub Scout"

An agent whose entire instruction set lives in one human-readable file,
`AGENTS.md`. The code (`app.py`) is just the wiring: it loads `AGENTS.md`
verbatim as the system prompt and gives the model two tools that hit the
real Hugging Face Hub. Edit `AGENTS.md` and the agent's behavior changes —
no code changes. This is the "author markdown, push, it's live" pattern.

## Run locally

```bash
git clone https://huggingface.co/datasets/designfailure/agents-md-agent
cd agents-md-agent
pip install -r requirements.txt

export HF_TOKEN=hf_...        # token with Inference Providers access
python app.py                 # opens http://127.0.0.1:7860
```

Override the model with `AGENT_MODEL=<repo id>` (any tool-capable chat model
available through Inference Providers).

## Tools the agent can call

- `search_hf_models(query, limit, task)` — keyword search over the Hub, ranked by likes
- `get_model_stats(repo_id)` — downloads, likes, last-modified for one repo

## Try asking it

- "Find me a small chat model that runs on a laptop CPU."
- "What's the most downloaded sentence-embedding model right now?"
- "How actively used is Qwen/Qwen2.5-72B-Instruct?"

## Portability

`agent.json` follows the deepagents project layout, so the same `AGENTS.md`
drops straight into the `deepagents` harness or `deepagents deploy` (which
needs a LangSmith key) without rewrites. The full file layout this expects:

```
agents-md-agent/
  agent.json        # name, description, model          (deepagents convention)
  AGENTS.md         # the agent's entire instruction set — the point of the project
  app.py            # Gradio wiring: system prompt = AGENTS.md, two real tools
  requirements.txt
  README.md
```