Agents: An Open-Source Framework for Autonomous Language Agents
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.
Cite
Text
Zhou et al. "Agents: An Open-Source Framework for Autonomous Language Agents." ICLR 2024 Workshops: LLMAgents, 2024.Markdown
[Zhou et al. "Agents: An Open-Source Framework for Autonomous Language Agents." ICLR 2024 Workshops: LLMAgents, 2024.](https://mlanthology.org/iclrw/2024/zhou2024iclrw-agents/)BibTeX
@inproceedings{zhou2024iclrw-agents,
title = {{Agents: An Open-Source Framework for Autonomous Language Agents}},
author = {Zhou, Wangchunshu and Jiang, Yuchen Eleanor and Li, Long and Wu, Jialong and Wang, Tiannan and Wang, Shuai and Chen, Jiamin and Zhang, Jintian and Chen, Jing and Tang, Xiangru and Cui, Peng and Zhang, Ningyu and Chen, Huajun and Sachan, Mrinmaya},
booktitle = {ICLR 2024 Workshops: LLMAgents},
year = {2024},
url = {https://mlanthology.org/iclrw/2024/zhou2024iclrw-agents/}
}