🦞 OpenClaw Setup Guide — From Zero to AI Assistant

Visual flowcharts, decision trees, and practical guides for setting up OpenClaw from scratch.

What's Inside

📊 Interactive Setup Flowchart

A 4-layer decision tree covering every choice a new user faces:

• Layer 1: Hardware — Mac, Linux, Pi, VPS, or buying new
• Layer 2: LLM Provider — Cloud APIs, local LLMs, free tiers, proxies
• Layer 3: Channel — Telegram, WhatsApp, Discord, Signal, Slack, and more
• Layer 4: Use Cases — Personal assistant, coding, trading, research, home automation

👉 Open the flowchart — interactive, works on any device

Coming Soon

• Step-by-step written guides per platform
• Cost calculator (estimate monthly LLM spend by use case)
• Skill recommendations by use case
• Multi-agent architecture patterns
• Real-world setup examples with configs

Who Is This For?

Anyone who wants their own AI assistant but doesn't know where to start. No prior LLM experience needed. We walk you through:

1. Picking hardware (even if you have nothing)
2. Choosing an LLM provider (including $0 options)
3. Connecting your favorite chat app
4. Setting up use cases that matter to you

Built With

• Mermaid.js for interactive flowcharts
• Real-world experience running OpenClaw 24/7 on a Raspberry Pi

Links

• OpenClaw — The project itself
• OpenClaw Docs — Official documentation
• OpenClaw Discord — Community

License

MIT