AutoGen: Complete Guide 2026
Python/.NETAI Agent Framework35k+ stars
Last updated:
Overview
Microsoft's open-source framework for building multi-agent conversational systems. AutoGen enables agents to converse with each other and with humans to solve tasks, supporting diverse conversation patterns and LLM configurations.
Key Features
✓Multi-agent conversation framework
✓Customizable agent roles and behaviors
✓Human-in-the-loop conversation patterns
✓Code execution in sandboxed environments
✓Group chat with multiple agents
✓Support for diverse LLM backends
Use Cases
- → Collaborative code generation and review
- → Multi-expert consultation systems
- → Automated software engineering workflows
- → Research and analysis with agent debate
Pros & Cons
Pros
- +Strong Microsoft backing and enterprise support
- +Excellent for conversational multi-agent patterns
- +Flexible agent configuration system
- +Built-in code execution capabilities
Cons
- -Can be complex to configure for simple tasks
- -Conversation-centric paradigm may not fit all use cases
- -Documentation can lag behind rapid development
Frequently Asked Questions
What is AutoGen?▾
Microsoft's open-source framework for building multi-agent conversational systems. AutoGen enables agents to converse with each other and with humans to solve tasks, supporting diverse conversation patterns and LLM configurations.
What language is AutoGen built in?▾
AutoGen is primarily built in Python/.NET.
Is AutoGen good for production?▾
AutoGen has 35k+ GitHub stars. Strong Microsoft backing and enterprise support for collaborative code generation and review.