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AutoGen Multi-Agent System

Multi-agent conversation system using Microsoft AutoGen framework.

PythonAutoGenadvanced
autogenmulti-agentconversation
Last updated on January 10, 2024
View on GitHubLive Demo

AutoGen Multi-Agent System

Build sophisticated multi-agent systems with Microsoft's AutoGen framework for collaborative AI workflows.

Overview

AutoGen enables you to create multiple AI agents that can collaborate, communicate, and solve complex problems together.

Key Features

  • Agent Communication: Agents can talk to each other and coordinate tasks
  • Role Specialization: Each agent can have specific skills and responsibilities
  • Human-in-the-Loop: Integrate human feedback into agent workflows
  • Code Execution: Agents can write and execute code safely

Example Usage

python
from autogen import AssistantAgent, UserProxyAgent

assistant = AssistantAgent(name="assistant")
user_proxy = UserProxyAgent(name="user_proxy")

# Start a conversation
user_proxy.initiate_chat(
    assistant,
    message="Help me analyze this dataset"
)

Use Cases

  • Software development teams
  • Research collaboration
  • Complex problem-solving
  • Automated workflows