Tools: OpenClaw Guide Ch6: Multi-Agent Collaboration Architecture

Chapter 6: Multi-Agent Collaboration Architecture ## 🏗️ Why Multi-Agent Architecture? ## Single-Agent Limitations ## Multi-Agent Advantages ## 🏛️ Multi-Agent Architecture Patterns ## Pattern 1: Master-Worker ## Pattern 2: Peer-to-Peer ## Pattern 3: Layered Architecture ## 🎯 Hands-On: Building a Multi-Agent System ## Agent Role Design ## 1. Coordinator Agent ## 2. Email Manager Agent ## 3. Calendar Manager Agent ## 4. Document Processor Agent ## 5. Data Analyst Agent ## 🔄 Inter-Agent Communication ## 1. Message Bus Pattern ## 2. Direct Communication ## 3. Workflow Orchestration ## 📝 Complete Multi-Agent Configuration ## 🚀 Deployment and Testing ## Create Agent Workspaces ## Start the System ## 🛠️ Optimization Best Practices ## 1. Load Balancing ## 2. Fault Recovery ## 3. Cache Optimization ## ✅ Chapter Summary ## 🚀 Next Steps ## 📝 Practice Projects ## Project 1: Intelligent Customer Service ## Project 2: Content Creation Factory ## Project 3: Enterprise Automation Platform 🎯 Learning Objective: Design and implement multi-Agent collaboration systems, master inter-Agent communication and task delegation A single Agent is powerful, but faces limitations in complex scenarios: Use Case: Clear task dispatch and control requirements Pros: Clear architecture, easy to manage Cons: Master becomes a bottleneck, limited scalability Use Case: Agents with relatively equal capabilities, flexible collaboration needed Pros: High availability, no single point of failure Cons: Complex coordination, potential conflicts Use Case: Complex enterprise applications, clear separation of concerns Pros: Structured, easy to maintain and extend Cons: Architecture complexity, communication overhead Let's build a practical multi-Agent collaboration system simulating an intelligent office assistant platform: Using OpenClaw's built-in communication mechanism: After this chapter, you should have mastered: Next Chapter: Memory and Data Management → Ready to tackle more complex system integration? 🎯 Templates let you quickly answer FAQs or store snippets for re-use. 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Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse CODE_BLOCK: ┌─────────────────┐ │ Master Agent │ ← Coordination, task dispatch │ (Controller) │ └─────┬───────────┘ │ ┌──┴──┬──────┬──────┐ ▼ ▼ ▼ ▼ ┌─────┐ ┌────┐ ┌────┐ ┌─────┐ │ Doc │ │Code│ │Data│ │ Web │ │Asst │ │Asst│ │Anal│ │Srch │ └─────┘ └────┘ └────┘ └─────┘ Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: ┌─────────────────┐ │ Master Agent │ ← Coordination, task dispatch │ (Controller) │ └─────┬───────────┘ │ ┌──┴──┬──────┬──────┐ ▼ ▼ ▼ ▼ ┌─────┐ ┌────┐ ┌────┐ ┌─────┐ │ Doc │ │Code│ │Data│ │ Web │ │Asst │ │Asst│ │Anal│ │Srch │ └─────┘ └────┘ └────┘ └─────┘ CODE_BLOCK: ┌─────────────────┐ │ Master Agent │ ← Coordination, task dispatch │ (Controller) │ └─────┬───────────┘ │ ┌──┴──┬──────┬──────┐ ▼ ▼ ▼ ▼ ┌─────┐ ┌────┐ ┌────┐ ┌─────┐ │ Doc │ │Code│ │Data│ │ Web │ │Asst │ │Asst│ │Anal│ │Srch │ └─────┘ └────┘ └────┘ └─────┘ CODE_BLOCK: ┌─────┐ ┌─────┐ ┌─────┐ │Agent│◄──►│Agent│◄──►│Agent│ │ A │ │ B │ │ C │ └──┬──┘ └─────┘ └──┬──┘ │ │ └──────────┬──────────┘ ▼ ┌─────┐ │Agent│ │ D │ └─────┘ Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: ┌─────┐ ┌─────┐ ┌─────┐ │Agent│◄──►│Agent│◄──►│Agent│ │ A │ │ B │ │ C │ └──┬──┘ └─────┘ └──┬──┘ │ │ └──────────┬──────────┘ ▼ ┌─────┐ │Agent│ │ D │ └─────┘ CODE_BLOCK: ┌─────┐ ┌─────┐ ┌─────┐ │Agent│◄──►│Agent│◄──►│Agent│ │ A │ │ B │ │ C │ └──┬──┘ └─────┘ └──┬──┘ │ │ └──────────┬──────────┘ ▼ ┌─────┐ │Agent│ │ D │ └─────┘ CODE_BLOCK: ┌────────────────────────────┐ │ UI Layer │ ├────────────────────────────┤ │ Business Logic Layer │ │ ┌────────┐ ┌──────────────┐ │ │ │Project │ │ Personal │ │ │ │Manager │ │ Assistant │ │ │ └────────┘ └──────────────┘ │ ├────────────────────────────┤ │ Service Layer │ │ ┌─────┐ ┌─────┐ ┌────────┐ │ │ │ Doc │ │Email│ │Calendar│ │ │ │ Svc │ │ Svc │ │ Svc │ │ │ └─────┘ └─────┘ └────────┘ │ ├────────────────────────────┤ │ Data Layer │ │ ┌──────────┐ ┌─────────┐ │ │ │Filesystem│ │Database │ │ │ └──────────┘ └─────────┘ │ └────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: ┌────────────────────────────┐ │ UI Layer │ ├────────────────────────────┤ │ Business Logic Layer │ │ ┌────────┐ ┌──────────────┐ │ │ │Project │ │ Personal │ │ │ │Manager │ │ Assistant │ │ │ └────────┘ └──────────────┘ │ ├────────────────────────────┤ │ Service Layer │ │ ┌─────┐ ┌─────┐ ┌────────┐ │ │ │ Doc │ │Email│ │Calendar│ │ │ │ Svc │ │ Svc │ │ Svc │ │ │ └─────┘ └─────┘ └────────┘ │ ├────────────────────────────┤ │ Data Layer │ │ ┌──────────┐ ┌─────────┐ │ │ │Filesystem│ │Database │ │ │ └──────────┘ └─────────┘ │ └────────────────────────────┘ CODE_BLOCK: ┌────────────────────────────┐ │ UI Layer │ ├────────────────────────────┤ │ Business Logic Layer │ │ ┌────────┐ ┌──────────────┐ │ │ │Project │ │ Personal │ │ │ │Manager │ │ Assistant │ │ │ └────────┘ └──────────────┘ │ ├────────────────────────────┤ │ Service Layer │ │ ┌─────┐ ┌─────┐ ┌────────┐ │ │ │ Doc │ │Email│ │Calendar│ │ │ │ Svc │ │ Svc │ │ Svc │ │ │ └─────┘ └─────┘ └────────┘ │ ├────────────────────────────┤ │ Data Layer │ │ ┌──────────┐ ┌─────────┐ │ │ │Filesystem│ │Database │ │ │ └──────────┘ └─────────┘ │ └────────────────────────────┘ CODE_BLOCK: { "id": "coordinator", "name": "Coordinator", "role": "Task dispatch and coordination", "model": "anthropic/claude-sonnet-4-20250514", "systemPrompt": "You are an intelligent coordinator responsible for understanding user requests, decomposing complex tasks, and assigning them to specialized Agents...", "tools": { "allowlist": [ "sessions_send", "sessions_list", "memory_search", "memory_get", "read", "write", "message" ] } } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "id": "coordinator", "name": "Coordinator", "role": "Task dispatch and coordination", "model": "anthropic/claude-sonnet-4-20250514", "systemPrompt": "You are an intelligent coordinator responsible for understanding user requests, decomposing complex tasks, and assigning them to specialized Agents...", "tools": { "allowlist": [ "sessions_send", "sessions_list", "memory_search", "memory_get", "read", "write", "message" ] } } CODE_BLOCK: { "id": "coordinator", "name": "Coordinator", "role": "Task dispatch and coordination", "model": "anthropic/claude-sonnet-4-20250514", "systemPrompt": "You are an intelligent coordinator responsible for understanding user requests, decomposing complex tasks, and assigning them to specialized Agents...", "tools": { "allowlist": [ "sessions_send", "sessions_list", "memory_search", "memory_get", "read", "write", "message" ] } } CODE_BLOCK: { "id": "email-manager", "name": "Email Manager", "role": "Email processing and management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "web_search", "message", "cron"] } } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "id": "email-manager", "name": "Email Manager", "role": "Email processing and management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "web_search", "message", "cron"] } } CODE_BLOCK: { "id": "email-manager", "name": "Email Manager", "role": "Email processing and management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "web_search", "message", "cron"] } } CODE_BLOCK: { "id": "calendar-manager", "name": "Calendar Manager", "role": "Scheduling and time management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "cron", "web_search", "message"] } } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "id": "calendar-manager", "name": "Calendar Manager", "role": "Scheduling and time management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "cron", "web_search", "message"] } } CODE_BLOCK: { "id": "calendar-manager", "name": "Calendar Manager", "role": "Scheduling and time management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "cron", "web_search", "message"] } } CODE_BLOCK: { "id": "doc-processor", "name": "Document Processor", "role": "Document creation, editing, and management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "exec", "web_search", "memory_search"] } } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "id": "doc-processor", "name": "Document Processor", "role": "Document creation, editing, and management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "exec", "web_search", "memory_search"] } } CODE_BLOCK: { "id": "doc-processor", "name": "Document Processor", "role": "Document creation, editing, and management", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "exec", "web_search", "memory_search"] } } CODE_BLOCK: { "id": "data-analyst", "name": "Data Analyst", "role": "Data analysis and report generation", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "exec", "web_search", "canvas"] } } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "id": "data-analyst", "name": "Data Analyst", "role": "Data analysis and report generation", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "exec", "web_search", "canvas"] } } CODE_BLOCK: { "id": "data-analyst", "name": "Data Analyst", "role": "Data analysis and report generation", "model": "anthropic/claude-sonnet-4-20250514", "tools": { "allowlist": ["read", "write", "exec", "web_search", "canvas"] } } COMMAND_BLOCK: # message-bus.py — Inter-Agent message bus import asyncio import json import logging from typing import Dict, List, Callable from datetime import datetime class MessageBus: def __init__(self): self.subscribers: Dict[str, List[Callable]] = {} self.message_history: List[Dict] = [] def subscribe(self, topic: str, callback: Callable): """Subscribe to a message topic""" if topic not in self.subscribers: self.subscribers[topic] = [] self.subscribers[topic].append(callback) def publish(self, topic: str, message: Dict, sender: str = None): """Publish a message""" msg = { "id": f"msg_{len(self.message_history)}", "topic": topic, "message": message, "sender": sender, "timestamp": datetime.now().isoformat() } self.message_history.append(msg) if topic in self.subscribers: for callback in self.subscribers[topic]: try: callback(msg) except Exception as e: logging.error(f"Message delivery failed: {e}") def get_history(self, topic: str = None, limit: int = 100): """Get message history""" messages = self.message_history if topic: messages = [m for m in messages if m["topic"] == topic] return messages[-limit:] Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: # message-bus.py — Inter-Agent message bus import asyncio import json import logging from typing import Dict, List, Callable from datetime import datetime class MessageBus: def __init__(self): self.subscribers: Dict[str, List[Callable]] = {} self.message_history: List[Dict] = [] def subscribe(self, topic: str, callback: Callable): """Subscribe to a message topic""" if topic not in self.subscribers: self.subscribers[topic] = [] self.subscribers[topic].append(callback) def publish(self, topic: str, message: Dict, sender: str = None): """Publish a message""" msg = { "id": f"msg_{len(self.message_history)}", "topic": topic, "message": message, "sender": sender, "timestamp": datetime.now().isoformat() } self.message_history.append(msg) if topic in self.subscribers: for callback in self.subscribers[topic]: try: callback(msg) except Exception as e: logging.error(f"Message delivery failed: {e}") def get_history(self, topic: str = None, limit: int = 100): """Get message history""" messages = self.message_history if topic: messages = [m for m in messages if m["topic"] == topic] return messages[-limit:] COMMAND_BLOCK: # message-bus.py — Inter-Agent message bus import asyncio import json import logging from typing import Dict, List, Callable from datetime import datetime class MessageBus: def __init__(self): self.subscribers: Dict[str, List[Callable]] = {} self.message_history: List[Dict] = [] def subscribe(self, topic: str, callback: Callable): """Subscribe to a message topic""" if topic not in self.subscribers: self.subscribers[topic] = [] self.subscribers[topic].append(callback) def publish(self, topic: str, message: Dict, sender: str = None): """Publish a message""" msg = { "id": f"msg_{len(self.message_history)}", "topic": topic, "message": message, "sender": sender, "timestamp": datetime.now().isoformat() } self.message_history.append(msg) if topic in self.subscribers: for callback in self.subscribers[topic]: try: callback(msg) except Exception as e: logging.error(f"Message delivery failed: {e}") def get_history(self, topic: str = None, limit: int = 100): """Get message history""" messages = self.message_history if topic: messages = [m for m in messages if m["topic"] == topic] return messages[-limit:] COMMAND_BLOCK: # In the Coordinator Agent async def delegate_task(task_type: str, task_data: dict): """Delegate a task to a specialized Agent""" agent_mapping = { "email": "email-manager", "calendar": "calendar-manager", "document": "doc-processor", "analysis": "data-analyst" } target_agent = agent_mapping.get(task_type) if not target_agent: return {"error": "Unknown task type"} message = f"Please handle the following task: {json.dumps(task_data)}" result = await sessions_send( sessionKey=f"agent:{target_agent}:main", message=message, timeoutSeconds=60 ) return result Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: # In the Coordinator Agent async def delegate_task(task_type: str, task_data: dict): """Delegate a task to a specialized Agent""" agent_mapping = { "email": "email-manager", "calendar": "calendar-manager", "document": "doc-processor", "analysis": "data-analyst" } target_agent = agent_mapping.get(task_type) if not target_agent: return {"error": "Unknown task type"} message = f"Please handle the following task: {json.dumps(task_data)}" result = await sessions_send( sessionKey=f"agent:{target_agent}:main", message=message, timeoutSeconds=60 ) return result COMMAND_BLOCK: # In the Coordinator Agent async def delegate_task(task_type: str, task_data: dict): """Delegate a task to a specialized Agent""" agent_mapping = { "email": "email-manager", "calendar": "calendar-manager", "document": "doc-processor", "analysis": "data-analyst" } target_agent = agent_mapping.get(task_type) if not target_agent: return {"error": "Unknown task type"} message = f"Please handle the following task: {json.dumps(task_data)}" result = await sessions_send( sessionKey=f"agent:{target_agent}:main", message=message, timeoutSeconds=60 ) return result COMMAND_BLOCK: { "workflow": { "name": "Intelligent Email Processing", "steps": [ { "id": "email_classification", "agent": "email-manager", "action": "classify_emails", "input": "${user_input}", "output": "email_categories" }, { "id": "urgent_handling", "agent": "coordinator", "condition": "${email_categories.urgent_count} > 0", "action": "handle_urgent_emails", "input": "${email_categories.urgent_emails}" }, { "id": "schedule_check", "agent": "calendar-manager", "parallel": true, "action": "check_calendar_conflicts", "input": "${email_categories.meeting_requests}" }, { "id": "generate_report", "agent": "doc-processor", "action": "create_email_summary", "input": { "classified": "${email_categories}", "calendar": "${schedule_check.result}" } } ] } } Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: { "workflow": { "name": "Intelligent Email Processing", "steps": [ { "id": "email_classification", "agent": "email-manager", "action": "classify_emails", "input": "${user_input}", "output": "email_categories" }, { "id": "urgent_handling", "agent": "coordinator", "condition": "${email_categories.urgent_count} > 0", "action": "handle_urgent_emails", "input": "${email_categories.urgent_emails}" }, { "id": "schedule_check", "agent": "calendar-manager", "parallel": true, "action": "check_calendar_conflicts", "input": "${email_categories.meeting_requests}" }, { "id": "generate_report", "agent": "doc-processor", "action": "create_email_summary", "input": { "classified": "${email_categories}", "calendar": "${schedule_check.result}" } } ] } } COMMAND_BLOCK: { "workflow": { "name": "Intelligent Email Processing", "steps": [ { "id": "email_classification", "agent": "email-manager", "action": "classify_emails", "input": "${user_input}", "output": "email_categories" }, { "id": "urgent_handling", "agent": "coordinator", "condition": "${email_categories.urgent_count} > 0", "action": "handle_urgent_emails", "input": "${email_categories.urgent_emails}" }, { "id": "schedule_check", "agent": "calendar-manager", "parallel": true, "action": "check_calendar_conflicts", "input": "${email_categories.meeting_requests}" }, { "id": "generate_report", "agent": "doc-processor", "action": "create_email_summary", "input": { "classified": "${email_categories}", "calendar": "${schedule_check.result}" } } ] } } CODE_BLOCK: { "gateway": { "port": 18789, "bind": "loopback", "cors": true, "maxConcurrency": 20 }, "agents": [ { "id": "coordinator", "name": "Coordinator", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/coordinator"}, "maxConcurrency": 5 }, { "id": "email-manager", "name": "Email Manager", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/email-manager"}, "maxConcurrency": 3 }, { "id": "calendar-manager", "name": "Calendar Manager", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/calendar-manager"}, "maxConcurrency": 2 }, { "id": "doc-processor", "name": "Document Processor", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/doc-processor"}, "maxConcurrency": 3 }, { "id": "data-analyst", "name": "Data Analyst", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/data-analyst"}, "maxConcurrency": 2 } ], "tools": { "allowlists": { "coordinator": [ "sessions_send", "sessions_list", "memory_search", "memory_get", "read", "write", "message" ], "email-manager": [ "read", "write", "web_search", "message", "cron" ], "calendar-manager": [ "read", "write", "cron", "web_search", "message" ], "doc-processor": [ "read", "write", "exec", "web_search", "memory_search" ], "data-analyst": [ "read", "write", "exec", "web_search", "canvas" ] } } } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "gateway": { "port": 18789, "bind": "loopback", "cors": true, "maxConcurrency": 20 }, "agents": [ { "id": "coordinator", "name": "Coordinator", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/coordinator"}, "maxConcurrency": 5 }, { "id": "email-manager", "name": "Email Manager", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/email-manager"}, "maxConcurrency": 3 }, { "id": "calendar-manager", "name": "Calendar Manager", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/calendar-manager"}, "maxConcurrency": 2 }, { "id": "doc-processor", "name": "Document Processor", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/doc-processor"}, "maxConcurrency": 3 }, { "id": "data-analyst", "name": "Data Analyst", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/data-analyst"}, "maxConcurrency": 2 } ], "tools": { "allowlists": { "coordinator": [ "sessions_send", "sessions_list", "memory_search", "memory_get", "read", "write", "message" ], "email-manager": [ "read", "write", "web_search", "message", "cron" ], "calendar-manager": [ "read", "write", "cron", "web_search", "message" ], "doc-processor": [ "read", "write", "exec", "web_search", "memory_search" ], "data-analyst": [ "read", "write", "exec", "web_search", "canvas" ] } } } CODE_BLOCK: { "gateway": { "port": 18789, "bind": "loopback", "cors": true, "maxConcurrency": 20 }, "agents": [ { "id": "coordinator", "name": "Coordinator", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/coordinator"}, "maxConcurrency": 5 }, { "id": "email-manager", "name": "Email Manager", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/email-manager"}, "maxConcurrency": 3 }, { "id": "calendar-manager", "name": "Calendar Manager", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/calendar-manager"}, "maxConcurrency": 2 }, { "id": "doc-processor", "name": "Document Processor", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/doc-processor"}, "maxConcurrency": 3 }, { "id": "data-analyst", "name": "Data Analyst", "model": "anthropic/claude-sonnet-4-20250514", "workspace": {"root": "./agents/data-analyst"}, "maxConcurrency": 2 } ], "tools": { "allowlists": { "coordinator": [ "sessions_send", "sessions_list", "memory_search", "memory_get", "read", "write", "message" ], "email-manager": [ "read", "write", "web_search", "message", "cron" ], "calendar-manager": [ "read", "write", "cron", "web_search", "message" ], "doc-processor": [ "read", "write", "exec", "web_search", "memory_search" ], "data-analyst": [ "read", "write", "exec", "web_search", "canvas" ] } } } COMMAND_BLOCK: # Create directories for each Agent mkdir -p agents/{coordinator,email-manager,calendar-manager,doc-processor,data-analyst} # Create base files for each Agent for agent in coordinator email-manager calendar-manager doc-processor data-analyst; do mkdir -p agents/$agent/{memory,logs,projects} touch agents/$agent/{MEMORY.md,SOUL.md,USER.md} done Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: # Create directories for each Agent mkdir -p agents/{coordinator,email-manager,calendar-manager,doc-processor,data-analyst} # Create base files for each Agent for agent in coordinator email-manager calendar-manager doc-processor data-analyst; do mkdir -p agents/$agent/{memory,logs,projects} touch agents/$agent/{MEMORY.md,SOUL.md,USER.md} done COMMAND_BLOCK: # Create directories for each Agent mkdir -p agents/{coordinator,email-manager,calendar-manager,doc-processor,data-analyst} # Create base files for each Agent for agent in coordinator email-manager calendar-manager doc-processor data-analyst; do mkdir -p agents/$agent/{memory,logs,projects} touch agents/$agent/{MEMORY.md,SOUL.md,USER.md} done COMMAND_BLOCK: # Start the OpenClaw Gateway openclaw gateway start # Verify all Agents loaded successfully openclaw status # Test Agent communication curl -X POST http://localhost:18789/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "coordinator", "messages": [ {"role": "user", "content": "Please introduce the team members"} ] }' Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: # Start the OpenClaw Gateway openclaw gateway start # Verify all Agents loaded successfully openclaw status # Test Agent communication curl -X POST http://localhost:18789/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "coordinator", "messages": [ {"role": "user", "content": "Please introduce the team members"} ] }' COMMAND_BLOCK: # Start the OpenClaw Gateway openclaw gateway start # Verify all Agents loaded successfully openclaw status # Test Agent communication curl -X POST http://localhost:18789/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "coordinator", "messages": [ {"role": "user", "content": "Please introduce the team members"} ] }' CODE_BLOCK: { "loadBalancer": { "strategy": "round-robin", // round-robin, least-connections, weighted "healthCheck": { "enabled": true, "interval": 30000, "timeout": 5000 } } } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "loadBalancer": { "strategy": "round-robin", // round-robin, least-connections, weighted "healthCheck": { "enabled": true, "interval": 30000, "timeout": 5000 } } } CODE_BLOCK: { "loadBalancer": { "strategy": "round-robin", // round-robin, least-connections, weighted "healthCheck": { "enabled": true, "interval": 30000, "timeout": 5000 } } } CODE_BLOCK: { "agents": [ { "id": "coordinator", "retry": { "enabled": true, "maxAttempts": 3, "backoff": "exponential" }, "fallback": { "agent": "backup-coordinator", "message": "The primary coordinator is temporarily unavailable. A backup coordinator is serving you." } } ] } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "agents": [ { "id": "coordinator", "retry": { "enabled": true, "maxAttempts": 3, "backoff": "exponential" }, "fallback": { "agent": "backup-coordinator", "message": "The primary coordinator is temporarily unavailable. A backup coordinator is serving you." } } ] } CODE_BLOCK: { "agents": [ { "id": "coordinator", "retry": { "enabled": true, "maxAttempts": 3, "backoff": "exponential" }, "fallback": { "agent": "backup-coordinator", "message": "The primary coordinator is temporarily unavailable. A backup coordinator is serving you." } } ] } CODE_BLOCK: { "agents": [ { "id": "data-analyst", "caching": { "enabled": true, "ttl": 3600, "maxSize": "100MB", "strategy": "LRU" } } ] } Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: { "agents": [ { "id": "data-analyst", "caching": { "enabled": true, "ttl": 3600, "maxSize": "100MB", "strategy": "LRU" } } ] } CODE_BLOCK: { "agents": [ { "id": "data-analyst", "caching": { "enabled": true, "ttl": 3600, "maxSize": "100MB", "strategy": "LRU" } } ] } - 🧠 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 - 🎯 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 - [x] Multi-Agent architecture design patterns and use cases - [x] Inter-Agent communication mechanisms - [x] Complete multi-Agent system configuration and deployment - [x] Task dispatch and collaboration workflow design - [x] System monitoring and performance optimization - [x] Fault handling and load balancing strategies - Design 3–5 specialized Agents (pre-sales, post-sales, tech support, etc.) - Implement automatic issue classification and handoff - Build a knowledge base and FAQ system - Create multiple content creation Agents (writing, design, video, etc.) - Automate the content production pipeline - Establish quality control and review mechanisms - Design department-specific Agents (HR, Finance, IT, etc.) - Implement cross-department collaboration workflows - Build permission management and approval processes