AutoGen
frameworkAutoGen is Microsoft's open-source framework specifically designed for multi-agent conversations. Unlike general-purpose LLM frameworks, AutoGen was built from the ground up around the concept of agents talking to each other.
The framework provides primitives for agent-to-agent messaging, group chat with dynamic speaker selection, human-in-the-loop patterns, and code execution. AutoGen agents can be backed by different LLMs, allowing you to use the right model for each agent role.
AutoGen is particularly strong for research-oriented multi-agent systems where agent dialogue and debate are core to the workflow.
Key Features
- •Native multi-agent conversation support
- •Group chat with speaker selection
- •Human-in-the-loop integration
- •Code execution environment
- •Flexible agent configuration
Pros
- +Purpose-built for multi-agent systems
- +Microsoft research backing
- +Clean conversation primitives
- +Good for debate and verification patterns
Cons
- −Primarily Python
- −Smaller ecosystem than LangChain
- −Less mature tooling ecosystem