Microsoft AutoGen
A framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.
AutoGen is a versatile framework for developing multi-agent AI applications that can operate autonomously or in collaboration with humans. It offers a layered, extensible design, including Core and AgentChat APIs, along with developer tools like AutoGen Studio for no-code GUI development and AutoGen Bench for performance evaluation.
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- SSam GarciaMay 10, 2026
Our team uses this for automated code reviews. Catches things that humans miss on first pass.
- KKendall ClarkApr 21, 2026
still getting my head around agent termination conditions. docs could be clearer on edge cases there
- FFinley ClarkMar 25, 2026
Built a customer support triage system using AutoGen. The human-in-the-loop pattern works exactly as advertised.
- EElliot ZhangMar 10, 2026
Compared AutoGen to LangGraph for complex workflows. AutoGen wins on conversation-heavy patterns; LangGraph is better for explicit state management.
- Emerson ChenMar 8, 2026
for building RAG-augmented agent workflows this integrates cleanly with most retrieval setups
- RRemy HarrisFeb 23, 2026
Works well with Azure OpenAI endpoints. If you're already in the Microsoft ecosystem the integration story is smooth.
- RRiver ClarkDec 25, 2025
The v0.4 refactor significantly cleaned up the API. Worth upgrading if you're on an older version — breaking changes but the new design is much cleaner.
- Oaklyn ChenDec 17, 2025
AutoGen's conversation patterns are the most flexible I've used for multi-agent LLM orchestration. Running it in production for code review automation — the agent back-and-forth is reliable.
- Alex KimDec 6, 2025
the two-agent chat example got me going in maybe 30 mins. way less boilerplate than expected from a Microsoft project