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======================== English version ==============================
Working Pattern Contribution Solicitation
Dear agentUniverse Community Members,
How to effectively design and implement agent work modes is a focal point of our attention. In order to further advance research and applications in this area, we sincerely invite every member of the community to share their contributions related to agent work modes.
You may refer to the PEER pattern component, which utilizes agents with four different responsibilities—Plan, Execute, Express, and Review—to decompose complex problems, execute them step by step, and iteratively improve based on evaluation feedback, ultimately enhancing performance in reasoning and analytical tasks.
We hope to collect contributions that include, but are not limited to:
New Agent Work Modes: If you have a unique design for a work mode based on your research or practice, please share it with us, especially any innovative ideas related to multi-agent collaboration and task allocation.
Optimization Suggestions and Feedback: Provide your professional insights and optimization suggestions for existing agent work modes.
Theoretical Frameworks and Model Construction: Share the theoretical foundations or related models behind agent work modes, which will help everyone better understand and apply relevant technologies.
Please submit your contributions (such as documents, code, examples, etc.) via a pull request or send them to our official email. You can include a title and related description for your contribution to provide clearer context.
We hope that with everyone's joint efforts, research on agent work modes can make significant progress, thereby advancing the entire field of agents. We look forward to your active participation and contributions!
======================== Chinese version ==============================
======================== English version ==============================
Working Pattern Contribution Solicitation
Dear agentUniverse Community Members,
How to effectively design and implement agent work modes is a focal point of our attention. In order to further advance research and applications in this area, we sincerely invite every member of the community to share their contributions related to agent work modes.
You may refer to the PEER pattern component, which utilizes agents with four different responsibilities—Plan, Execute, Express, and Review—to decompose complex problems, execute them step by step, and iteratively improve based on evaluation feedback, ultimately enhancing performance in reasoning and analytical tasks.
We hope to collect contributions that include, but are not limited to:
New Agent Work Modes: If you have a unique design for a work mode based on your research or practice, please share it with us, especially any innovative ideas related to multi-agent collaboration and task allocation.
Optimization Suggestions and Feedback: Provide your professional insights and optimization suggestions for existing agent work modes.
Theoretical Frameworks and Model Construction: Share the theoretical foundations or related models behind agent work modes, which will help everyone better understand and apply relevant technologies.
Please submit your contributions (such as documents, code, examples, etc.) via a pull request or send them to our official email. You can include a title and related description for your contribution to provide clearer context.
We hope that with everyone's joint efforts, research on agent work modes can make significant progress, thereby advancing the entire field of agents. We look forward to your active participation and contributions!
======================== Chinese version ==============================
智能体工作模式贡献招募
亲爱的 agentUniverse 社区成员们,
如何有效地设计和实现智能体的工作模式是关注的焦点。为进一步推动这一领域的研究与应用,我们诚挚地向社区的每一位成员发出征集邀请,希望大家能够分享在智能体工作模式方面的各类贡献。
你可以参考PEER 模式组件,该pattern通过计划(Plan)、执行(Execute)、表达(Express)、评价(Review)四个不同职责的智能体,实现对复杂问题的多步拆解、分步执行,并基于评价反馈进行自主迭代,最终提升推理分析类任务表现。
我们希望收集到的贡献包括但不限于:
1)新的智能体工作模式:如果您在研究或实践中有独特的工作模式设计,请与我们分享,特别是在多智能体协作及任务分配方面的创新思路。
2)优化建议与反馈:对于现有的智能体工作模式,提供您的专业看法和优化建议。
3)理论框架与模型构建:分享您在智能体工作模式背后的理论基础或相关模型,帮助大家更好地理解和应用相关技术。
请将您的贡献(如文档、代码、示例等)通过pr提交,或发送至我们的官方邮箱 。您可以注明贡献的标题及相关描述,为我们提供更清晰的理解。
希望在大家的共同努力下,智能体工作模式的研究能够取得更大的进展,进而推动整个智能体领域的发展。期待您的积极参与与贡献!
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