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Updated OpenClaw Setup Guide (2026): The Practical Way to Run a 24/7 AI Agent After 500+ Hours

OpenClaw exploded in popularity earlier this year. My original guide hit 3.3 million views and 33,000 bookmarks in weeks. Then everything changed.

Anthropic restricted subscription access for third-party tools, new models dropped, the install process evolved, and half the old advice became outdated or broken. After running OpenClaw 24/7 since January (500+ hours), here’s the current, battle-tested way to set it up properly from day one.

This replaces the old guide. Whether you’re brand new or already deep into OpenClaw, this is the version you want.

Prerequisites Before You Install Anything

You need three things ready:

  1. Main AI Model API Key (the brain)

    • Best choice: Anthropic (Claude) — Opus 4.6 is currently the smartest for agent work. Sonnet 4.6 is cheaper for routine tasks.
    • Strong alternatives: OpenAI (GPT-5.4), Gemini 2.5 Pro, or local Ollama models.
    • Pro tip: Load at least $50–250 in credits upfront. New API accounts have lower rate limits.

  2. Groq API Key (for voice notes)

    • Powers Whisper transcription so your agent can understand voice messages on Telegram.
    • Free tier is excellent. Get it at console.groq.com.

  3. Web Search API Key

    • Recommended: Brave Search (~$5/month, fast & reliable).
    • Alternatives: Tavily (good free tier), Firecrawl, or self-hosted SearXNG.

Installation

On macOS (recommended for best experience):

# Install Homebrew if needed
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

# Install OpenClaw
brew install openclaw
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Run the setup wizard:

openclaw setup
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During setup:

  • Choose Anthropic + paste your key.
  • Select Opus 4.6 for the setup phase (smartest brain while building foundations).
  • For communications → Telegram (easiest).
  • Preload these skills:
    • clawhub (skill marketplace)
    • mcporter (MCP tool routing)
    • openai-whisper (voice transcription — essential)
    • model-usage (track spending)
    • github (if you use Git)
    • nano-pdf (PDF handling)
  • Enable all hooks: boot-md, bootstrap extra files, command-logger, session-memory.

Once done, “hatch” the agent in the TUI and say hello.

Connecting Telegram (The Real Interface)

Tell your agent:

“We’re going to use Telegram. Next I’ll send you my Telegram bot API key so you can install the telegram skill.”

Then:

  1. Message @botfather → /newbot
  2. Copy the API key
  3. Paste it to your agent
  4. Get the pair code from your new bot
  5. Send the pair code back to the agent

Now chat with your agent directly from Telegram — this is how most people actually use it daily.

The Smart Way to Onboard (The Real Game-Changer)

After Telegram is connected:

  1. Install Kickstart (by @jordymaui on Clawhub)

    • Creates essential files: SOUL.md, USER.md, AGENTS.md, TOOLS.md, HEARTBEAT.md
    • Command: install the kickstart skill by jordymaui from clawhub

  2. Install QMD

    • Upgrades memory with semantic search (huge upgrade over flat text files).

  3. Onboarding Session (Do This)
    Send this prompt:

    “Before we do anything else, create a short questionnaire (max 20 questions) about who I am, what I do, how I work, and what I need from you. I’ll answer everything in one voice note.”

Reply with a voice note — not text. Speak naturally. This single voice note gives your agent better context than weeks of typing.

Best Practices from 500+ Hours

  • Model Routing — Don’t run everything on Opus. Route complex reasoning to Opus/Sonnet and simple tasks to cheaper/faster models (or Groq). This can cut costs by 50%.
  • Keep CLAUDE.md short — 6 lines max. Long files waste tokens on every message.
  • Split Agents by Job — One agent for Twitter monitoring, one for research, one for content, etc. Prevents context bleeding.
  • Read Your Memory Files — Check what your agent has written about you weekly.
  • Update Regularly — Security updates and changes come fast. Run openclaw update weekly.

Final Thoughts

OpenClaw is one of the most powerful local/agentic tools available right now, but the setup and ongoing management require thought. The difference between a toy and a reliable 24/7 agent is in the details: proper memory systems (QMD), structured onboarding, model routing, and clean separation of concerns.

The hard part was starting. You just did that.

If this helped, tag me on X (@jordymaui) when you get yours running.

If you have more questions, please feel free to contact me at any time: https://t.me/FatherSon97

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