dsh-experimental-computer-use-cua-driver-mcp
使用已安装的 Cua Driver MCP 可执行文件配置实验性本地计算机使用,并采用独占的提供方注册。
Configure experimental local computer use with an installed Cua Driver MCP executable and exclusive provider registration.
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使用已安装的 Cua Driver MCP 可执行文件配置实验性本地计算机使用,并采用独占的提供方注册。
Configure experimental local computer use with an installed Cua Driver MCP executable and exclusive provider registration.
每个客户端共享的 API 网关由 TypeScript API 契约(src/api/,零 Node 依赖,可从浏览器导入)、fetch 载体对(src/fetch/:宿主侧的 toFetchHandler、AbstractApiClient 以及…)组成。
The API gateway shared by every client consists of the TypeScript API contract (src/api/, zero Node dependencies, importable from the browser), the fetch carrier pair (src/fetch/: toFetchHandler on the host side, AbstractApiClient plus…
通过 ctx.permissionPresets(PermissionPresetService)提供面向用户的权限预设。
User-facing permission presets through ctx.permissionPresets (PermissionPresetService).
持久化投影缓存(ctx.sessionProjectionCache):每个已注册投影单元状态的持久检查点,在域数据表单上每个会话一条记录(session_projcache 域——随附的 json 后端将其落地…
The persisted projection cache (ctx.sessionProjectionCache): durable checkpoints of every registered projection unit's state, one record per session on the domain data form (session_projcache domain — the shipped json backend lands it…
用于 ctx.terminals 的持久 shell 后端,基于 ctx.subprocess.spawnTerminal 实现。
Persistent shell backend for ctx.terminals over ctx.subprocess.spawnTerminal.
面向模型的工作流工具:运行一个 JavaScript 编排脚本,由该脚本分发子代理,并返回脚本的最终值。
The model-facing workflow tool: run a JavaScript orchestration script that fans out subagents, and return the script's final value.
Chinese Traditional Wisdom Skill 中国传统文化整体智慧咨询 Skill。
用于代码图接缝的只读 SQLite 存储。
Read-only SQLite store for the code-graph seam.
提示词通道:装配结果上的文本转换(replace / suppress)与降级 section 的按步送达(本步没留在系统提示词 里的 section 改以 reminder 紧随用户消息送达,压缩后的重试再补投一次)。
Prompt channel for dsh: assembly-result text conversion (replace / suppress) plus per-step delivery of demoted sections. Workspace instructions and the skill catalog use the official rows (@deepseek-ai/dsh-agent-instructions / @deepseek-ai/dsh-tool-skill)
面向用户和维护者的工作线程代码执行,用于编写、调整规模或调试已交付的 TypeScript 后端,该后端会在全新的 Node worker 中运行每个程序。
Worker-thread code execution for users and maintainers composing, sizing, or debugging the shipped TypeScript backend that runs each program in a fresh Node worker.
用于代码图接缝的只读 SQLite 存储。
Read-only SQLite store for the code-graph seam.
使用并调试实验性的 Web Agent Teams 名单、共享任务板和队友导航面板。
Use and debug the experimental Web Agent Teams roster, shared task board, and teammate navigation panel.
DataOps AI 工作区的注册表入口点:固定运行时和已审核的插件,同时排除内网部署不得运行的能力。
Registry entry point for a DataOps AI workspace: pins the runtime and the reviewed plugins without the capabilities an intranet deployment must not run.
一个用于 DeepSeek Harness (DSH) 的插件(dsh-effort-picker),它在 composer 模型菜单内用直观、常驻的 effort 滑块替换标准的“Effort”菜单项。
A plugin for DeepSeek Harness (DSH) (dsh-effort-picker) that replaces the standard "Effort" menu item with an intuitive, sticky effort slider directly inside the composer model menu.
dsh 启动器交给它所启动应用的命令行。
The command line a dsh launcher hands to the app it boots.
@deepseek-ai/dsh-jobs 注册表契约的进程内实现:LocalJobRegistry 将所有记录保存在内存中,按类型发放 -N 形式的 id,并返回全新快照,而非实时状态。
Process-local implementation of the @deepseek-ai/dsh-jobs registry contract: LocalJobRegistry keeps every record in memory, issues per-kind -N ids, and hands out fresh snapshots, never live state.
面向用户和维护者的进程内后台任务注册表,用于组合、评估规模或调试进程内任务:按所有者准入、生命周期与拆除。
The process-local background-job registry for users and maintainers composing, sizing, or debugging in-process jobs: per-owner admission, lifecycle, and teardown.
由本应用选择的 Host Remote 能力的双向 BFF。
Two-sided BFF for Host Remote capabilities selected by this application.
面向模型的 bash(command) 由单个 owner 作用域的 ctx.pty shell 支撑。
Model-facing bash(command) backed by one owner-scoped ctx.pty shell.
会话持久化是一个能力接缝。
Session persistence is a capability seam.
可选的持久上下文,用于指明该 agent 进程所在的 tmux 会话、窗口和窗格,以及该窗口的窗格树布局。
Opt-in durable context naming the tmux session, window, and pane this agent process runs in, plus the window's pane-tree layout.
在技能与记忆之上学习图。
Learning graph over skills and memory。
会话持久化是一个能力接缝。
Session persistence is a capability seam.
录制语音,并将可审阅的转写文本插入对话草稿。
Record speech and insert reviewable transcripts into the conversation draft.