Agents: An Open-source Framework for Autonomous Language Agents

Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang +13 more
9/14/2023
cs.CL

Official code: aiwaves-cn/agents (5,964 stars, Apache-2.0, last commit 2024-09-26).

Abstract

Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces. We consider language agents as a promising direction towards artificial general intelligence and release Agents, an open-source library with the goal of opening up these advances to a wider non-specialist audience. Agents is carefully engineered to support important features including planning, memory, tool usage, multi-agent communication, and fine-grained symbolic control. Agents is user-friendly as it enables non-specialists to build, customize, test, tune, and deploy state-of-the-art autonomous language agents without much coding. The library is also research-friendly as its modularized design makes it easily extensible for researchers. Agents is available at https://github.com/aiwaves-cn/agents.

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Code Implementations(1)

aiwaves-cn/agentsOfficial100%
Apache-2.0

An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

5,964481PythonJul 18, 20232 years agoApache-2.0
autonomous-agentslanguage-modelllm

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Cite this paper

@article{zhou2023agents,
  title  = {Agents: An Open-source Framework for Autonomous Language Agents},
  author = {Wangchunshu Zhou and Yuchen Eleanor Jiang and Long Li and Jialong Wu and Tiannan Wang and Shi Qiu and Jintian Zhang and Jing Chen and Ruipu Wu and Shuai Wang and Shiding Zhu and Jiyu Chen and Wentao Zhang and Xiangru Tang and Ningyu Zhang and Huajun Chen and Peng Cui and Mrinmaya Sachan},
  year   = {2023},
  eprint = {2309.07870},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.07870v3}
}

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