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Paitesanshi / LLM-Agent-Survey

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Please considering adding AgentSquare to the repository #31

Open THU-Yu-Shang opened 3 days ago

THU-Yu-Shang commented 3 days ago

Thanks for the collection of works about LLM agents, I'd like to kindly request that you consider adding our work AgentSquare to your repository.

AgentSquare is a novel LLM agent search framework that utilizes module evolution and recombination to automatically optimize agent designs across a modular design space consisting of Planning, Reasoning, Tool Use, and Memory modules. We believe that the proposed modular design space and AgentSquare search framework offer a platform for fully exploiting the potential of prior successful designs and consolidating the collective efforts of the research community of LLM agents.

Here's some information about AgentSquare: AgentSquare: Automatic LLM Agent Search in Modular Design Space Website (with demos): https://tsinghua-fib-lab.github.io/AgentSquare_website/ Paper: https://arxiv.org/abs/2410.06153 Code: https://github.com/tsinghua-fib-lab/AgentSquare

TLDR: We propose a modular design space of LLM agents and an automatic agent search framework named AgentSquare, which can adaptively search for better-performing agent designs for given tasks.

Key Features: Unified Framework: We have provided unified exemplar scripts on six popular agent tasks covering embodied, game, web and tool areas. You can easily run different agent designs with only a line of code! Extensibility: We have provided detailed guidance on how to develop user's own agent designs and tasks based on AgentSquare, demonstrating the high extensibility of AgentSquare framework.

I believe AgentSquare's novel framework and good usability make it a valuable addition to your repository. Thank you for considering this request.

Paitesanshi commented 3 days ago

Thank you for the suggestion! We’ve added AgentSquare to the repository. Appreciate your contribution!