DOCUMENTATION
Openclaw
Openclaw
technical reference
Practical guides for deploying, configuring, and extending Openclaw AI Agent, from initial setup to production-grade multi-agent workflows.
Browse by Topic
Getting Started
Install Openclaw, run the onboarding wizard, configure your first AI model, and verify the runtime is healthy.
Gateway & Configuration
Manage the always-on gateway process, configure authentication, model failover, and the full openclaw.json reference.
Agent Playbooks
Concrete task automation patterns — cron jobs, event hooks, sub-agents, and real-world workflow implementations.
Channel Integrations
Connect Openclaw to Telegram, Discord, WhatsApp, Teams, Matrix, and other platforms. Covers auth, group rules, and message formatting.
Memory, Skills & Tools
How agent memory works, the SOUL.md personality file, ClawHub skill marketplace, browser control, shell exec, and web fetch tools.
Security & Troubleshooting
Docker sandboxing, filesystem access control, secret management, prompt injection mitigation, and the 60-second diagnostic runbook.
How Openclaw Works
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.
Latest Articles
