Quickstart 5-minute setup
From zero to running your first AI mission in under 5 minutes.
1. Install the CLI
Install OpenClaw globally via npm or pnpm:
npm install -g @openclaw/mekong-cli
# or
pnpm add -g @openclaw/mekong-cli Verify the installation:
mekong --version
# OpenClaw v5.0.0 2. Initialize Your Company
Run the init wizard to scaffold your company configuration:
mekong company/init This creates .mekong/company.json with your company profile, active departments, and billing settings.
Every session reads .mekong/company.json automatically. No extra flags needed.
3. Run Your First Command
Cook a mission — the most powerful command in OpenClaw:
mekong cook "Write a product description for my SaaS" The PEV engine will plan, execute, and verify the task. Output is saved to .mekong/outputs/.
Try other quick commands:
# Generate a pitch deck outline
mekong pitch "AI-powered inventory management for SMBs"
# Write a cold email sequence
mekong sales/email "B2B SaaS outreach, 5-email sequence"
# Create a sprint plan
mekong sprint "MVP launch — 2 weeks" 4. Configure Your LLM
OpenClaw supports any OpenAI-compatible API. Set three environment variables:
export LLM_BASE_URL=https://openrouter.ai/api/v1
export LLM_API_KEY=sk-or-v1-yourkey
export LLM_MODEL=anthropic/claude-sonnet-4 Or add them to .env in your project root. Pre-configured presets live in mekong/adapters/llm-providers.yaml.
Supported providers (auto-fallback chain):
- OpenRouter (recommended — access all models)
- Anthropic Claude directly
- OpenAI / Azure OpenAI
- Google Gemini via DashScope
- DeepSeek, Qwen
- Ollama (local, offline)
5. Deploy to Cloudflare
OpenClaw ships a zero-cost 3-layer CF infrastructure scaffold:
# Scaffold frontend + edge API
bash mekong/infra/scaffold.sh myproject startup
# Full stack (frontend + API + backend + D1 + KV + R2)
bash mekong/infra/scaffold.sh myproject scale
# Deploy
git push origin main # CF Pages auto-deploys
wrangler deploy # Workers backend Total infra cost: $0/mo on Cloudflare free tier.