multi-agent
AutoGen
AutoGen is a multi-agent framework for conversational collaboration between specialized agents, often used for coding and research workflows.
Best for
- Conversational multi-agent experiments
- Coding agents with reviewer/user-proxy patterns
- Research and Microsoft-centric stacks
Pros and cons
Pros
- Flexible multi-agent conversation patterns
- Strong history in coding agent demos
- Active open-source community
Trade-offs
- Conversational control can be harder to constrain
- Production guardrails still application-owned
Overview
AutoGen focuses on multi-agent conversations: agents message each other (and optional human proxies) to solve tasks such as coding, analysis, or research.
Fit signals
Choose AutoGen when the natural interface between specialists is dialogue and you want that protocol out of the box.
Production note
Constrain tools, add termination conditions, and evaluate total token spend. Debates are expensive.