Learn how to install OpenClaw, connect it to Telegram / WhatsApp / Discord, and deploy real workflows in minutes. Everything here is beginner-friendly and developer-ready.
Pick a setup style and copy the command you need. This mirrors the options shown on the official OpenClaw homepage.
The fastest path to a running assistant on macOS, Linux, or WSL2.
This tutorial walks through installation, onboarding, and real automation use cases in a single guided session.
Before inviting a large group, take a few minutes to confirm access, define a clear use case, and set expectations. A small preparation checklist helps you avoid noisy rollouts, improves response quality, and reduces the amount of cleanup after launch.
Playbooks are ready-to-run workflows for teams and communities. Start with the common ones below, then customize.
OpenClaw connects to the chat apps and tools teams already use. Start with your core messaging channels, then expand to popular integrations.
Choose AI OpenClaw when you need fast onboarding, clear safety controls, and repeatable workflows that fit into existing chat habits.
A concise overview of how AI OpenClaw works, who it serves, and how to roll it out safely.
AI OpenClaw is a local-first social assistant for the chat apps people already use. It prioritizes fast setup, safe group behavior, and real workflows so teams automate without switching tools.
A strong overview highlights install speed, channel connection, and repeatable playbooks. AI OpenClaw can start locally, scale later, and plug into common platforms with minimal setup.
Beginners need a safe first win. AI OpenClaw keeps the loop short: install, onboard, and test a prompt before inviting others. Early results build confidence.
After the first response, connect a channel. Start in a private chat, then a small group so AI OpenClaw stays predictable. Small pilots reduce noise and refine prompts.
Developers need control and repeatability. AI OpenClaw keeps the CLI workflow central, making setup, channel management, and troubleshooting fast to document and share.
AI OpenClaw supports rapid iteration: test locally, adjust, then deploy to a live channel. The loop enables experimentation without breaking production.
Start with one high-signal channel. Use allowlists and mention gating, then expand once AI OpenClaw behavior is stable. The goal is controlled growth, not instant scale.
Each channel has a rhythm: Telegram is fast to bootstrap, WhatsApp drives engagement, and Slack fits internal workflows. AI OpenClaw lets you reuse playbooks with simple routing.
Playbooks turn AI OpenClaw into repeatable workflows such as group Q&A, daily digests, support triage, or content distribution. Each playbook needs a clear trigger, response style, and fallback.
Start with one workflow, then build a library. AI OpenClaw keeps configuration visible so you can test privately and reuse the same setup for larger groups.
Reliable operations matter. AI OpenClaw includes health checks, channel status visibility, and predictable installs to keep deployments stable. A staged rollout helps monitor quality.
Clear structure improves discoverability. Focused headings and consistent language make AI OpenClaw easy to find for install guides, channel setup, and social automation searches.
Short answers to help new users and builders get oriented before deeper documentation.
Use this section as a quick checkpoint before diving into the detailed guides. It summarizes setup order, channel selection, safety concepts, and workflow validation so you can move from experimentation to production with fewer surprises. Treat it as a checklist when onboarding a new teammate or rolling a feature into a live group.
Use the one-liner installer, run onboarding, then test your first prompt in the dashboard.
It keeps the assistant in the apps people already use, with clear safety controls and repeatable playbooks.
Enable allowlists and mention gating so only explicit triggers activate responses.
The CLI workflow and playbook system make it easy to test, iterate, and scale across channels.