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代理程序:自主语言代理的开源框架

Agents: An Open-source Framework for Autonomous Language Agents

September 14, 2023
作者: 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, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan
cs.AI

摘要

最近对大型语言模型(LLMs)的进展使研究人员和开发者能够构建自主语言代理,这些代理可以利用自然语言界面自动解决各种任务,并与环境、人类和其他代理进行交互。我们认为语言代理是通往人工通用智能的一个有前途的方向,并发布了Agents,这是一个开源库,旨在将这些进展开放给更广泛的非专业人士。Agents经过精心设计,支持重要功能,包括规划、记忆、工具使用、多代理通信和细粒度符号控制。Agents用户友好,使非专业人士能够构建、定制、测试、调整和部署最先进的自主语言代理而无需太多编码。该库也对研究人员友好,其模块化设计使其易于扩展。Agents可在https://github.com/aiwaves-cn/agents 上获得。
English
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.
PDF421December 15, 2024