更新 README.md

README.md

@@ -5,4 +5,38 @@ colorFrom: indigo
 colorTo: red
 sdk: docker
 app_port: 7860
+datasets:
+- your-username/your-space-name-data
 ---
+
+# HuggingClaw 🦀
+
+Deploy [OpenClaw](https://openclaw.ai) on HuggingFace Spaces for free — 2 vCPU, 16 GB RAM, 50 GB storage, always online.
+
+## Required Secrets
+
+Set these in your Space → Settings → Repository secrets:
+
+| Secret | Description |
+|--------|-------------|
+| `HF_TOKEN` | Your HuggingFace token (needs read + write access) |
+| `OPENCLAW_DATASET_REPO` | Dataset repo to persist data, e.g. `your-name/HuggingClaw-data` |
+
+## Optional Secrets
+
+| Secret | Default | Description |
+|--------|---------|-------------|
+| `AUTO_CREATE_DATASET` | `false` | Set `true` to auto-create the dataset repo on first start |
+| `SYNC_INTERVAL` | `60` | Seconds between workspace sync pushes |
+| `OPENCLAW_DEFAULT_MODEL` | — | Default AI model, e.g. `gpt-4o` |
+| `ANTHROPIC_API_KEY` | — | Anthropic API key |
+| `OPENAI_API_KEY` | — | OpenAI API key |
+| `OPENROUTER_API_KEY` | — | OpenRouter API key |
+
+## Setup
+
+1. **Duplicate this Space** on the HuggingFace Space page.
+2. Create a **private Dataset repo** at [huggingface.co/new-dataset](https://huggingface.co/new-dataset).
+3. Set `OPENCLAW_DATASET_REPO` and `HF_TOKEN` as Repository Secrets.
+4. Edit this README and update the `datasets:` field above to match your dataset repo.
+5. The Space will build and OpenClaw will be available on port 7860.