AutoGen
by Microsoft
Multi-agent conversation framework for LLM applications
Overview
AutoGen is Microsoft's framework for building LLM applications using multiple agents that converse to solve tasks. Supports complex multi-agent workflows.
Key Statistics
Overall Rating
4.0/5
GitHub Stars
50,600
Last Updated
2025-10
Version
0.4.0
Features
Multi-agent conversations
Multi-agent conversations capabilities
Autonomous task solving
Autonomous task solving capabilities
Human-in-the-loop
Human-in-the-loop capabilities
Getting Started
Installation
pip install pyautogen
Quick Start
Install AutoGen and create agents
Code Example
from autogen import AssistantAgent, UserProxyAgent
Pros & Cons
Advantages
Powerful multi-agent conversation framework
Backed by Microsoft with strong research foundation
Flexible agent configuration and communication
Good documentation and examples
Supports human-in-the-loop workflows
Active development and community
Apache 2.0 license
Limitations
Can be complex to set up for beginners
Conversation-based approach may not suit all use cases
Less focus on visual tools
Debugging multi-agent conversations can be challenging
Requires careful prompt engineering
Documentation can be scattered across versions
Technical Details
Primary Language
Python
Supported Languages
License
Apache-2.0
Enterprise Ready
Yes
Community Size
Very Large
Pricing
Open Source
Free open source under Apache 2.0
Performance Metrics
easeOfUse
3/5
scalability
4/5
documentation
4/5
community
5/5
performance
4/5
Common Use Cases
Multi-agent research systems
Complex task decomposition and solving
Code generation and debugging
Collaborative agent workflows
Agent-based simulations
Human-in-the-loop decision making