What is a Multi-Agent AI System

🧠 What is a Multi-Agent System?

A Multi-Agent System (MAS) is a system composed of two or more intelligent agents that:

• Interact with each other (via messages, APIs, databases, etc.)

• Share or divide tasks

• May have different roles, goals, or knowledge

• Can work in parallel to increase performance and intelligence

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🤖 Example of Multi-Agent Use Cases:

Use Case	Agents Involved	What They Do
Data Pipeline	Ingest Agent, Clean Agent, Analyze Agent	Each performs a step in a data workflow
Customer Support Bot	Product Bot, Billing Bot, Shipping Bot	Specialized bots hand off to each other
Smart Factory	Robot Agents, Scheduler Agent, Supervisor Agent	Coordinate production lines and resources
Multi-Tool AI Chat	SQL Agent, Python Agent, Web Search Agent	Choose the best tool for each user query

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🧩 How They Interact

Agents can:

• Pass tasks to each other (e.g., like a relay team)

• Negotiate or vote on actions (collaborative AI)

• Compete (e.g., in simulations or games)

• Work under a controller agent or be fully decentralized

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🛠️ Mini Example: Multi-Agent Workflow (Pseudocode)

# Agent 1: Data Reader
def agent_data_reader():
    data = read_sales_data()
    return data

# Agent 2: Analyzer
def agent_analyzer(data):
    return analyze_sales_trend(data)

# Agent 3: Reporter
def agent_reporter(analysis):
    generate_report(analysis)

# Workflow
data = agent_data_reader()
analysis = agent_analyzer(data)
agent_reporter(analysis)

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🧠 Multi-Agent AI with LLMs

In modern AI (like LangChain, AutoGen, or OpenAgents), you can assign roles like:

• 👩‍💼 Manager Agent: Breaks down the task and assigns subtasks

• 🧮 SQL Agent: Writes SQL queries

• 📊 Analytics Agent: Interprets and explains data

• 📝 Writing Agent: Writes reports

They talk to each other through prompts and messages, like a team of experts.

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📚 Tools to Build Multi-Agent Systems

Tool	Purpose
LangGraph / LangChain Agents	Chain agents with memory/tools
Autogen by Microsoft	LLM-based multi-agent framework
CrewAI	Define agents with roles and workflows
ReAct / Plan-and-Solve	Reasoning + Tool-use agents
Databricks AI	Cloud-native platform for AI agents

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🚀 Want an Example?

Would you like a real multi-agent demo in Python or Databricks using OpenAI? For example:

• One agent reads DB

• Second agent analyzes data

• Third agent explains results in natural language

Let me know the scenario you'd like!