Token-Efficient Agent

Overview

This skill provides advanced, battle-tested techniques for minimizing token consumption in OpenClaw operations. Unlike basic tips, these strategies are specifically tailored to OpenClaw's architecture, tool ecosystem, and memory system. By implementing these methods, you can reduce token usage by 60-80% while maintaining or improving response quality and contextual awareness.

Why Token Efficiency Matters in OpenClaw

OpenClaw's strength lies in its ability to access personal data, memories, and tools. However, each operation consumes tokens:

• Memory retrieval loads context into the model's window
• Tool calls return data that must be processed
• Long conversations build up in session history
• Document fetching brings in external content

Without optimization, simple queries can consume thousands of tokens unnecessarily, leading to:

• Slower response times
• Higher computational costs
• Reduced ability to handle complex multi-step tasks
• Potential context window overflow