tydora
Let Your Ideas Flow — Tydora is a modern desktop Markdown editor combining WYSIWYG editing, bidirectional links, mind maps, and an infinite canvas — empowering deep thinking and effortless expression.
99 results
Let Your Ideas Flow — Tydora is a modern desktop Markdown editor combining WYSIWYG editing, bidirectional links, mind maps, and an infinite canvas — empowering deep thinking and effortless expression.
DSH 插件:真正便捷无感的同窗口内对话回退,从不新建分支;自带轻量工作区备份,可一并还原文件(完整 Claude Code /rewind 语义)。 · DSH plugin: genuinely effortless in-window conversation rewind — never forking a new session; ships a lightweight workspace backup that restores files together with the rewind (full Claude Code /rewind semantics).
为 DSH 的 pi-ai 第三方模型补充可配置的思考强度档位,并设置子 agent 默认思考强度。
仿 Claude Code 推理等级滑块 DSH 插件:无极拖动、松手吸附、WebGL 火焰跟随、OFF/MAX 刻度、Low/Medium/High/Ultracode 状态;宿主侧通用思考强度供给——任何自定义第三方模型/提供商都能获得真实生效的思考强度调节。
Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models page card.
Provider Model Configurator for DeepSeek Harness: view, create, edit, copy and delete model entries (context window, max output, modalities, reasoning efforts) across your configured providers, with quick-fill from the pi-ai preset catalog.
Closed-loop trajectory policy plane for DeepSeek Harness: task episodes, revision-aware verification debt, benchmark-aware stop control, adaptive effort, and scoped capability control.
Per-model capability declaration for DeepSeek Harness: reasoning-effort levels (with wire spellings) and request modalities (text/image) for OpenAI-compatible providers — one settings section, no YAML hand-editing.
Reasoning effort settings and per-call subagent model routing for DeepSeek Harness custom providers
客制化DSH(Custom DSH): web-surface theming (wallpaper, frosted glass, accent, translucent surfaces), configurable keyboard shortcuts (new conversation / model / thinking effort / composer gestures / usage panel), and an app-usage panel. Zero shell edits.
DSH host plugin: cuts tool-call latency by auto-downgrading reasoning_effort for simple tool tasks, with per-tool timing telemetry.
DSH host plugin: thinking-level (reasoning_effort) control for dsh — auto-adjust per tool round, with optional manual lock and per-tool timing telemetry.
Codex-style reasoning-effort slider embedded in the DSH model selector
Enhanced ACP server for DeepSeek Harness: block-level streaming, usage/stat telemetry (cache hit rate, token speed, input/output tokens, context length, turns, tool timing), model & reasoning-effort switching, and permission-preset control over the ACP wire (Zed-friendly)
Global model request headers plus image input, reasoning, and DeepSeek system-role compatibility for custom providers
DeepSeek Harness composer model seat: model picker plus a three-stop reasoning bar (小难梁 / 梁子 / 梁圣)
统一 LLM 请求/响应检查器:调 reasoning effort、外部思考(think)导出、流量与包分析 —— DeepSeek Harness 插件
DeepSeek Harness 前端插件:梁系强度滑动条 —— 用 6 档滑块替换输入框的模型与推理等级按钮(小难梁/牢梁/梁子/梁圣/梁神/梁祖),悬停时在进度条上方显示对应档位形象图,切换带交叉淡入淡出渐变
CodeBuddy (copilot.tencent.com) provider bundle for DeepSeek Harness (dsh): 18 models (DeepSeek, GLM, Kimi, MiniMax, Hunyuan, auto) with adjustable reasoning efforts, CodeBuddy web search / web fetch backends for the stock dsh tools, and a settings card in the Web UI.
A compact per-model reasoning effort editor for DeepSeek Harness custom providers.
多功能 DSH 插件:① 为 OpenAI 兼容第三方模型声明 Codex 风格推理档位并钉住默认档位;② 引用目录(附加文件夹)——为会话添加可读写的白名单文件夹,注册 refdir_list/read/write/edit/grep 工具。安装一次,按模块持续扩展。
DeepSeek Harness web 插件:把一个会话交给本机 Claude Code CLI 驱动。引擎选择器(DSH|Claude)、Claude 权限档替换访问模式、Claude 模型/effort 选择、原生工具卡片与子 agent 嵌套、dsh 原生审批、命令面板并入 Claude 命令(一次性命令带外执行)、订阅用量读数、导入本机 Claude 对话。Claude 进程由独立 broker 持有,插件更新与 dsh 重启都不中断它。
DSH web plugin: 为自定义模型(OpenAI-compatible pi-ai provider)增加思考强度(reasoning effort)配置 —— 设置页新增「思考强度」分区,按模型配置思考级别与线格式、按 provider 配置默认思考强度,直接写入 llm-pi-ai 设置,composer 模型选择器随即生效。
DSH插件:将推理强度选择重构为滑动条组件