Practical guides for deploying, configuring, and extending Openclaw — from initial setup to production-grade multi-agent workflows.
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Install Openclaw, run the onboarding wizard, configure your first AI model, and verify the runtime is healthy.
Manage the always-on gateway process, configure authentication, model failover, and the full openclaw.json reference.
Concrete task automation patterns — cron jobs, event hooks, sub-agents, and real-world workflow implementations.
Connect Openclaw to Telegram, Discord, WhatsApp, Teams, Matrix, and other platforms. Covers auth, group rules, and message formatting.
How agent memory works, the SOUL.md personality file, ClawHub skill marketplace, browser control, shell exec, and web fetch tools.
Docker sandboxing, filesystem access control, secret management, prompt injection mitigation, and the 60-second diagnostic runbook.
Openclaw runs a persistent gateway process that routes messages from connected channels to a configured AI model. Each conversation is backed by a Markdown-based memory workspace. Agents can execute shell commands, call external APIs, spawn sub-agents, and interact with browsers — all scoped within configurable sandboxes. This documentation covers every layer: runtime setup, model configuration, channel wiring, skill authoring, and production hardening.
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