Add README with run instructions

README.md

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+# 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
+```