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Computer Science > Computation and Language

arXiv:2309.07870 (cs)
[Submitted on 14 Sep 2023 (v1), last revised 12 Dec 2023 (this version, v3)]

Title:Agents: An Open-source Framework for Autonomous Language Agents

Authors:Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Xiangru Tang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan
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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 this https URL.
Comments: Code available at this https URL
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2309.07870 [cs.CL]
  (or arXiv:2309.07870v3 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2309.07870

Submission history

From: Wangchunshu Zhou [view email]
[v1] Thu, 14 Sep 2023 17:18:25 UTC (1,492 KB)
[v2] Sun, 8 Oct 2023 14:43:38 UTC (1,530 KB)
[v3] Tue, 12 Dec 2023 04:47:21 UTC (1,530 KB)
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