@mnemon-dev/dsh-mnemon
Install the full dsh-mnemon integration from the Mnemon repository.
51 results
Install the full dsh-mnemon integration from the Mnemon repository.
Text-to-speech for DeepSeek Harness: speak agent replies in the Web UI with a provider fallback chain (OpenAI, ElevenLabs, Google, Azure, Groq, Deepgram, OpenRouter, Edge, Piper, eSpeak).
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
Local and remote knowledge bases for DeepSeek Harness, with scoped recall, controlled write-back, and a Web management console
Give your DSH agent hands: drive a real browser (Edge/Chrome over CDP) from the chat, with a live draggable cockpit panel in the Web GUI. Zero runtime dependencies, no API key, one command install.
Voice-first session loop for DeepSeek Harness: a composer microphone button with browser/local speech-to-text (Web Speech, FunASR, whisper.cpp), a speak tool for text-to-speech replies (browser, edge-tts, piper), event announcements with mute, and speak-to-interrupt.
DSH 桌宠 bundle 插件(v2.2)。住在 Web 界面右下角的精灵宠物 + 一个独立于浏览器的原生桌面窗口:随 Agent 工作状态切换动作(对话中专注工作、回合思考、等待审批、出错摔倒),对话完成时跳跃庆祝并全机播放提示音。原生桌面窗口最小化/关闭网页也照样存在,悬停显示当前工作区与对话名,双击用 Edge 打开 Harness 网页。内置多宠物注册表(跨重启保留)、每宠物独立音频、素材 HTTP 路由与注册即校验(严格防图片错位)。配套技能 dsh-pet-forge 可一句话生成并导入新宠物(生图模型 + Blender 3D 建模 + 动作/音效设计),也能直接导入视频(抽帧 + 抠绿幕 + 按动作切分)。v2.1 新增宠物社区:按 DPSL-1.0 开放共享协议发布到 GitHub 的桌宠会被自动收录,可在插件内置画廊里浏览、下载、一键安装。
DeepSeek Harness plugin for organizing AI discussions into research topics, traceable knowledge cards, and reusable research materials on an interactive graph
Retro macOS (System 7 / Mac OS 9) desktop UI for DSH web: chat, files, terminal, browser, docs and knowledge base inside one pixel desktop
Host-only Obsidian integration for DeepSeek Harness: 25 on-demand vault, knowledge, attachment, link, editor, and command tools with an authenticated local IPC companion.
DSH Web 麦克风语音输入插件:浏览器内置 Web Speech API 实时转写进输入框,自动去重/续听、智能标点、语言与自动发送设置(Edge=微软语音、Chrome=谷歌语音)。Microphone voice input for the DSH Web UI using the browser's Web Speech API.
DSH Web client plugin: vertical message pointer rail on the left edge of the chat area, with clickable markers per user message for quick navigation and hover preview bubbles.
AI-driven partial wave analysis for DeepSeek Harness: physics-gated config editing, ctpwa fit execution, numeric evaluation, and goal-driven iterative convergence. Physics knowledge (PDG-2026) as pure functions; DSH integration as a thin pwa_* tool plugin.
Turn conversation content into knowledge cards: concepts, flowcharts, comparisons and more for Web
DSH token usage & cost ledger: per-session aggregation, official multi-vendor pricing (peak/off-peak aware), budget control, cost-intelligence insights (projections, anomaly detection, health score, attribution), Prometheus metrics, SSE dashboard
Find the doc your agent just wrote. Lists the DSH workspace's Markdown, images and video in the sidebar, ranked by relevance to the current conversation, with inline preview — and hands the same ranking to the agent as a tool, returning the passage that matched in each document. Zero model calls, zero network.
User message jump bar for the DSH web GUI: a minimap-style dash strip on the right edge of the conversation, hover for message preview, click to jump. · DSH Web 用户消息跳转条:对话区右缘 minimap 式横杠,悬停预览、点击跳转。
理解任何东西技能包(移植自 Understand-Anything)
Voice practice mode for the DSH web app: bilingual (中文 / English) conversation output plus read-aloud (TTS) and speech input (STT). Adds a 语音交流 dialog-mode toggle to the composer.
LVGL 8.4 knowledge skill pack for DeepSeek Harness (dsh): registers an offline LVGL 8.4 skill library on ctx.skills so the agent writes correct v8 API code and avoids v9 confusion.
A message timeline rail for the DeepSeek Harness web chat: evenly spaced tick marks for every user message along the left edge of the conversation, click to jump, hover to preview.
Voice (speech-to-text) input for the DSH Web composer via the browser Web Speech API — tap the mic, speak, the transcript fills the input box. Zero server, zero API keys, nothing leaves the machine. · DSH Web 语音输入:点麦克风说话,识别文字回填输入框(Chrome/Edge,无需 API key)。
Quota monitor for the DeepSeek Harness Web GUI: OpenCode Go plan usage + DeepSeek API balance/usage + MiniMax Token Plan, as a draggable bottom-left monitor window. P0: self-metered token ledger (llm/stream waterfall, own JSONL). P1: multi-provider abstractions (balance/windows kinds, presets, configurable parsers) and bundle-type packaging.
A living memory workbench for DeepSeek Harness — watch Hindsight memory grow, read and use it, in a persistent sidebar.