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Agent frameworks
Microsoft AutoGen
Framework for building LLM applications using multiple agents that can converse to solve tasks.
Overview
Developed by Microsoft, it enables the creation of multi-agent applications where agents communicate via chat. It supports human-in-the-loop interactions, code execution, and specialized agents like 'AssistantAgent' and 'UserProxyAgent'.
Best for
- Code-generation agents with execution loops
- Research-heavy tasks requiring multiple specialized agents
Trade-offs
vs CrewAI
AutoGen provides deeper control over conversation patterns and code execution safety; CrewAI offers a more structured, role-based workflow abstraction.
What XeroHack pre-wires
When you pick Microsoft AutoGen in the interview, the engine emits these files into your scaffold:
- Two-Agent Chat
- Group Chat
- Nested Chats
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