🧠 What is a Multi-Agent System?
A Multi-Agent System (MAS) is a system composed of two or more intelligent agents that:
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Interact with each other (via messages, APIs, databases, etc.)
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Share or divide tasks
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May have different roles, goals, or knowledge
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Can work in parallel to increase performance and intelligence
🤖 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 |
🧩 How They Interact
Agents can:
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Pass tasks to each other (e.g., like a relay team)
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Negotiate or vote on actions (collaborative AI)
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Compete (e.g., in simulations or games)
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Work under a controller agent or be fully decentralized
🛠️ 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)
🧠 Multi-Agent AI with LLMs
In modern AI (like LangChain, AutoGen, or OpenAgents), you can assign roles like:
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👩💼 Manager Agent: Breaks down the task and assigns subtasks
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🧮 SQL Agent: Writes SQL queries
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📊 Analytics Agent: Interprets and explains data
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📝 Writing Agent: Writes reports
They talk to each other through prompts and messages, like a team of experts.
📚 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 |
🚀 Want an Example?
Would you like a real multi-agent demo in Python or Databricks using OpenAI? For example:
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One agent reads DB
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Second agent analyzes data
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Third agent explains results in natural language
Let me know the scenario you'd like!
