Master agent personalization and token cost optimization — the two guides every OpenClaw user needs first.
Turn your generic AI assistant into one that knows you, remembers your preferences, and talks the way you want.
Configure proactive heartbeat check-ins without draining your API budget. Stop the expensive looping problem.
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A working reference for building agent systems that behave predictably. Covers concepts, patterns, configuration, and day-2 operating practices that keep agents useful instead of chaotic — with an emphasis on reliable execution, clear boundaries, and safe defaults.
What OpenClaw is, the problem it solves, and how the four architectural layers connect.
The central routing process and how messaging apps (WhatsApp, Telegram, Discord) plug in.
The AI brain: how it thinks, responds, uses tools, and takes action in the world.
How conversations persist across channels and how long-term memory actually works.
The capabilities that make it an agent, not just a chatbot. Choosing and configuring AI models.
Personality, memory, and configuration files — the agent's home on disk.
Keeping things safe when your AI assistant has real capabilities and shell access.
Heartbeats, hooks, advanced features, plus 6 complete step-by-step setup walkthroughs.
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