AutoGen
Microsoft's framework for building multi-agent AI systems where multiple AI agents collaborate to solve complex tasks.
In-Depth Explanation
AutoGen is an open-source framework from Microsoft Research for building applications with multiple AI agents that can converse with each other, execute code, and collaborate on complex tasks.
Core concepts:
- Agents: AI entities with roles
- Conversations: Agent interactions
- Code execution: Run generated code
- Human-in-the-loop: User involvement
Agent types:
- AssistantAgent: LLM-powered helper
- UserProxyAgent: Human interface
- GroupChat: Multi-agent conversations
- Custom agents: Specialised behaviour
Key features:
- Flexible conversation patterns
- Code generation and execution
- Tool/function integration
- Multiple LLM support
- Termination conditions
- Caching for efficiency
Business Context
AutoGen enables building sophisticated AI workflows where different agents specialise in different aspects, mimicking team collaboration.
How Clever Ops Uses This
We use AutoGen for Australian businesses needing complex AI workflows, such as automated research, code review, or multi-step analysis tasks.
Example Use Case
"Building a code review system with three agents: a coder who writes solutions, a critic who reviews for bugs, and an executor who tests the code."