OpenClaw Guide Ch6: Multi-Agent Collaboration Architecture

Chapter 6: Multi-Agent Collaboration Architecture 🎯 Learning Objective: Design and implement multi-Agent collaboration systems, master inter-Agent communication and task delegation 🏗️ Why Multi-Agent Architecture? A single Agent is powerful, but faces limitations in complex scenarios: Single-Agent Limitations 🧠 Cognitive Overload : One Agent handling all task types 🔄 Context Pollution : Information from different tasks mixed together ⚡ Performance Bottleneck : Limited single-point processing capacity 🎯 Lack of Specialization : Cannot deeply optimize for specific domains 🔒 Security Risk : All permissions concentrated in one Agent Multi-Agent Advantages 🎯 Specialization : Each Agent focuses on a specific domain 🚀 Parallel Processing : Handle multiple tasks simultaneously 🔒 Permission Isolation : Assign minimal permissions as needed 📊 Independent Monitoring : Each Agent's performance can be optimized independently 🛡️ Fault Isolation : A single Agent failure doesn't affect the whole system