AutoGen
by Microsoft Research
Enable next-gen LLM applications via multi-agent conversation
AutoGen is a framework from Microsoft that enables development of LLM applications using multiple agents that can converse with each other to solve tasks. It simplifies orchestration, automation, and optimization of complex LLM workflows.
🎯 Key Features
Conversable agents
Group chat orchestration
Human-in-the-loop
Code execution capabilities
Automatic agent reply
Nested chats
Teaching and learning
Cost optimization
Strengths
Excellent for conversational agents
Strong code execution capabilities
Flexible conversation patterns
Microsoft backing and support
Good for research and experimentation
Built-in cost tracking
Limitations
Steeper learning curve
Python only
Less opinionated (requires more setup)
Documentation can be overwhelming
Conversation management complexity
Best For
- Multi-agent conversations
- Code generation and execution
- Research applications
- Complex problem-solving
- Teaching/tutoring systems
Not Recommended For
- Simple single-agent tasks
- Beginners to agent frameworks
- Production apps needing simplicity
- Non-conversational workflows