Agents: An Open-source Framework for Autonomous Language Agents
This framework aims to democratize access to advanced language agent technology for a wider audience, though it is incremental as it builds on existing LLM capabilities.
The paper introduces Agents, an open-source framework designed to enable non-specialists to build and deploy autonomous language agents for solving various tasks using natural language interfaces, with features like planning and tool usage.
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.