dsh-mnemon
Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
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Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
Knowledge graph memory for DeepSeek Harness and OpenClaw — cross-session recall, PageRank, communities, and vector search
Install the full dsh-mnemon integration from the Mnemon repository.
Design frontend UI, presentations, and marketing graphics on the Superdesign infinite canvas — packaged as a DeepSeek Harness skill bundle.
DeepSeek Harness 换肤插件(Dream Skin for DSH):8 套 iOS / Linear 式清透冷调的高质感主题 + 弥散光壁纸 + 每皮肤智能背景 + 强调色 + 主题包分享,把换肤做成材质与配色克制的高级感工艺,而非贴图。Works in native DSH Web and third-party desktop clients (DSH Desktop): 8 original premium themes, glass materials, wallpaper 2.0
Deployment scripts for MisakaNet Workers
Realtime WebGPU ocean skin for DeepSeek Harness on Chrome and Edge
DeepSeek Harness plugin for the iOS Simulator — build, run, and interact with a live simulator stream inside a conversation. Tested with DSH 0.1.5-rc.1.
Local-first memory & context harness for coding agents
Turn the DSH Web status line into a 1073-phrase meme machine: phase-aware phrases, typewriter, rainbow gradient, danmaku and 12 theme packs, all editable from the settings page.
Bloom for DSH — 玻璃+莫兰迪主题。10 套 OKLCH 配色(黛蓝/朱砂/桃夭/天青/竹青/赭石/青金/琥珀/落霞/青莲),明暗自适应;磨砂玻璃面板默认常开;微动效 + 版本/更新指示。零依赖、TypeScript、WCAG AA。
手机扫码即可在移动端/公网继续用 DeepSeek Harness,人不在电脑前也能接着干。一键局域网二维码、Cloudflare 公网隧道、自建隧道与微信 / QQ / 飞书 / Telegram Bot(多工作区/会话持久化/媒体/卡片审批/流式输出),无需自己搭公网服务器。
Session strata for the DeepSeek Harness Web GUI: the transcript's scrollbar becomes a to-scale, colour-coded map of the whole run — user messages emphasised, clickable anchors, auto-loading history, and a hover deck of every prompt in the session.
AI image generation plugin for the dsh web GUI: text-to-image and image-to-image through configurable provider channels (gpt-image-2 / grok-imagine-image / nanobanana series / seedream-5.0-pro / dall-e-3, with native xAI Grok Imagine, Google Nano Banana and ByteDance Seedream request shaping), per-channel model catalogs, a three-column studio beside the native conversation, an infinite canvas with node-graph workflows (annotation boxes with attached prompt cards, local background removal, AI layer split, per-node model choice, file nodes with any-file upload, and a canvas skill system covering skill-driven next steps on every node: text polish, image description, content extraction, and long-running headless-agent pipelines such as image-to-editable-ppt, with a local skill library that installs and removes skills from URLs or uploaded archives), an ecommerce product-set mode and a prompt template library.
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。
VCP 视觉通感协议插件 v2(官方 Slot API 版):AI 正文直接输出裸 HTML,前端以 conversation.chat.node 的 assistant-step 替换渲染器接入 + 复用 v1 渲染引擎(assets/vendor/vcp-engine-v1.js,流式/字体锁权/作用域化/KaTeX·Mermaid 零重写)渲染 vcp-root 卡片,零 bundle 补丁,兼容 rc 与 alpha 全版本线;内置 IO 热窗(可视+预取渲染、远离降级占位)防历史卡累积卡顿;内置开源精选字体 + 设计规范注入
Mobile client for the DeepSeek Harness — use the dsh on your dev machine from your Android or iOS phone, remotely across networks, peer-to-peer over iroh with no server to set up (falls back to a relay that only sees ciphertext)
DSH Web 输入框接管(v0.3.8-beta.1 · 复杂任务能力包:细节逐项过关 + 中英双语 · 适用于 dsh-0.1.6-alpha.1):发送前用独立 AI(传话者)把提示词优化成可直接发给工作 AI 的命令(四档强度、按难度定流程长度、按会话隔离、极简迷你窗)
Unified image understanding plugin for DeepSeek Harness (DSH). Visual twin adapter for native thumbnails + auto-analysis on any text-only model (incl. pi-ai providers); privacy/smart/strict routing; local tools (scan/OCR×4 engines (windows/macos/paddle/rapid)/crop/palette/compare/batch); document-to-image (pdf/word/excel/ppt); local photo editing (image_edit: resize/rotate/filter/composite/watermark/background-remove/upscale etc, pure CPU); optional external VLM bridge.
Always-on dependency and compatibility monitoring for DeepSeek Harness plugins, including exact paths, upstream changes, and isolated install/load evidence.
Task-aware two-phase DeepSeek Harness preset: spec/react/weak first-request anchors (bash+read±edit/write), then the full Standard tool catalog after the first tool call.
Cordis /hongtou command: two-phase pipeline (LLM structured JSON + deterministic Word 2003 XML template rendering)
🐳 The Everything-Plugin Quant OS — AI-native & DSH-native: 46 tools, 6 pluggable domains (data/alpha/ML/risk/execution), one end-to-end PDAT→PET pipeline. Methods open, secrets internal.
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.