AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li +9 more
8/16/2023
cs.AIcs.CL

No official code found. Best implementation: panktishah62/Hierarchial-agents (1 star, last commit 2025-04-13).

Abstract

AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes that employ combinations of LLMs, human inputs, and tools. Using AutoGen, developers can also flexibly define agent interaction behaviors. Both natural language and computer code can be used to program flexible conversation patterns for different applications. AutoGen serves as a generic infrastructure to build diverse applications of various complexities and LLM capacities. Empirical studies demonstrate the effectiveness of the framework in many example applications, with domains ranging from mathematics, coding, question answering, operations research, online decision-making, entertainment, etc.

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Code Implementations(1)

panktishah62/Hierarchial-agentsCommunity66%

This project implements a hierarchical multi-agent system inspired by the paper AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation by Wu, et al. The system demonstrates how multiple AI agents can work together to perform complex research tasks through structured conversation and collaboration.

10Jupyter NotebookApr 13, 20251 years ago
agentic-aigenaihierarchical-modelsllm

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Cite this paper

@article{wu2023autogen,
  title  = {AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation},
  author = {Qingyun Wu and Gagan Bansal and Jieyu Zhang and Yiran Wu and Beibin Li and Erkang Zhu and Li Jiang and Xiaoyun Zhang and Shaokun Zhang and Jiale Liu and Ahmed Hassan Awadallah and Ryen W White and Doug Burger and Chi Wang},
  year   = {2023},
  eprint = {2308.08155},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.08155v2}
}

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