dsh-roleplay-preset
DeepSeek 深度调校的沉浸式角色扮演 Agent 预设(dsh)——零工具纯对话、酒馆式演出格式、文件记忆库
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DeepSeek 深度调校的沉浸式角色扮演 Agent 预设(dsh)——零工具纯对话、酒馆式演出格式、文件记忆库
大肥鱼女仆长智能体,用风神与明神插件vibe而来,解决wsl与windows互通问题
??pro -- DeepSeek Harness minimal-based agent preset: Windows-friendly pwsh/bash shell, first-request anchored bootstrap, and a curated set of everyday tools.
LMA (Layered Memory Architecture) 是一个为 DeepSeek Harness 设计的地基插件(Foundation Plugin)。它定义了 “记忆体(Memory Body)” 这一抽象概念及其挂载/卸载协议。 它与其他记忆插件的本质区别在于:LMA 是一个容器和载体,让 dsh-memory-evolve、EchoCore 等“能力性插件”可以挂载其上,它本身也内置了一套可开关的基础记忆流程,作为可选能力。LMA结束记忆功能的“一锅乱炖”,实现跨会话的结构化记忆机制。(目前功能还在持续完善以及测试,对于其他插件的接口在构想完整后逐步推动)
Project Memory gives coding agents a single, trustworthy memory for a software repository — so they stop re-learning the same facts and stop writing conflicting "memory" files.
Math_Agent: a math training/coaching agent preset for DeepSeek Harness, with a programmatic zero-leak output guard that never reveals answers
DSH agent preset for rigorous strategy live-deployment testing/evaluation. Retest.
a simple personal try on top of dsh-anchored-standard, developd for math modeling
DeepSeek Harness agent preset: Windows full-stack desktop development team
A schema-driven, automation-first video + photo editor preset for DeepSeek Harness: deterministic render -> critique -> revise, with the edit decision as an auditable, trainable object. Part of the EditTogether collection.