Kos-Mos v0.1.0 is an early research model released as part of the Kos-Mos Project. The model is trained to exhibit a stable persona and role-consistent behavior, with an emphasis on identity coherence. Development is currently underway to build agent systems centered around this model, exploring its use as a core cognitive component. All training and data construction code is open-sourced and available at:https://github.com/xiaziye/Kos_Mos_project

Kos-Mos v0.1.0 是 Kos-Mos 项目 的早期研究模型， 主要关注角色一致性与人格稳定性。 目前正在推进 以该模型为核心的智能体（Agent）构建工作，探索其作为认知核心的可行性。 所有训练与数据构建代码均已开源，仓库地址：https://github.com/xiaziye/Kos_Mos_project

The long-term objective of the Kos-Mos Project is to explore structured language as an internal substrate for reasoning, memory, and learning in large language model agents, enabling language to function as a cognitive structure rather than solely an interface.

Kos-Mos 项目的长期目标是探索 结构化语言 作为大语言模型智能体中 推理、记忆与学习 的内部认知载体，使语言不再仅仅是交互接口。

The current version focuses on persona alignment and stability under low-prompt conditions. Training is based on DPO alignment and persona-focused SFT, inspired by role-driven alignment methods (https://arxiv.org/abs/2511.01689v1), aiming to reduce reliance on long system prompts while maintaining expressive consistency.

当前版本主要实现了 低提示词条件下的人格对齐与稳定性， 通过 DPO 对齐训练 与 人格 / 语气微调（SFT） 完成，训练思路参考角色驱动对齐方法，以减少对冗长系统提示词的依赖。