v0.3.1 · Apache-2.0
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.
v0.7.0 · MIT
记忆核心(Memory Eternal):自研的 DeepSeek Harness 记忆插件,不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault(自研去重、自研 CJK 检索、可 git 管理),设置页提供图形化知识库(统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗),Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。
v0.10.0 · MIT
记忆核心(Memory Eternal):自研的 DeepSeek Harness 记忆插件,不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault(自研去重、自研 CJK 检索、可 git 管理),设置页提供图形化知识库(统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗),Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。
v0.4.2 · MIT
DeepSeek Flow — Markdown-first visual workflow plugin for DeepSeek Harness with executable Boolean gate semantics, two-way canvas sync, and AI review/optimization.
v0.2.5 · MIT
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
v0.6.1 · MIT
DeepSeek Harness Web UI plugin for streaming rendering and scroll handling.
v1.5.0 · MIT
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding
v1.0.0-rc.2 · Apache-2.0
官方 DeepSeek Harness 的交互式终端 UI 插件:自研 ANSI 极简交互渲染、流式 Markdown/工具卡、16+ 主题、slash 命令与选择器、输入历史与本地偏好持久化、LSP 诊断、memory记忆,很丝滑的开发体验。
v0.6.2 · MIT
deepseek-harness for vscode .A native VS Code coding-agent extension for DeepSeek Harness. Streamlined workbench with session management, streaming Markdown, slash commands, plugin center, and zero-deployment runtime — no WebUI served, no Harness setup
v1.7.38 · MIT
安装即自带mattpocock/skills v1.2.3的25个工程与效率技能,无需手动装技能。300亿token打造。本插件在原始技能之上提供10倍的开发效率。主力支持GitHub issue;Markdown为预览版;GitLab暂不支持。
v2.15.0 · MIT
公文全流程处理工具——基于 GB/T 9704《党政机关公文格式》 国家标准,面向公文写作、企事业单位材料编制场景,支持 格式检查与修复、内容优化(Word 原生修订+批注/差异对比版)、模板生成、Markdown 转公文、版头版记页码注入、事实核验、风格增强 等完整能力。原生支持 DeepSeek Harness (DSH) 技能系统,打包为可被 AI Agent 直接调用的 Skill,完全自包含,克隆即用。
v0.26.2 · MIT
Turn any markdown, local folder, or GitHub learning repo into a guided course inside DeepSeek Harness: gated skill-tree progression, BKT mastery tracking, SM-2 spaced repetition.
v4.0.0 · Apache-2.0
A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.
v1.0.0 · no license
A dsh plugin that periodically scans reddapi.dev for new Reddit leads matching your one-sentence ICP, dedupes what you've already seen, and writes a dated markdown report. Also forwards 6 read-only Reddit search/lookup MCP tools.
v0.5.13 · MIT
Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.
v2.0.0 · Apache-2.0
AI 编译纯文本小说工作台 for the dsh web GUI: import a novel outline (docx/text), plan volumes & chapters with LLM, generate chapter by chapter (3000-4000 chars each), auto AI review & book audit, and export the full book as Markdown/TXT into your chosen output fold
v3.5.0 · MIT
Manage DeepSeek Harness system-prompt sections from the Web GUI: enable, edit, and subscribe markdown prompt entries, switch named presets from the composer, feed them machine facts as {{variables}}, replace the instruction DSH sends when it compacts the
— · Apache-2.0
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
— · MIT
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
v0.4.1 · no license
向模型暴露 MinerU 文档解析工具,将 PDF/图片/DOCX/PPTX/XLSX 转为结构化 Markdown/JSON | Exposes MinerU document-parsing tools to the model, converting PDF/images/DOCX/PPTX/XLSX into structured Markdown/JSON