Plugins

给 AI Agent 的中文互联网研究 Skill：检索 8 大平台最近 30 天的讨论，追踪跨平台热点，生成附原始来源的报告，并提供每日全网热榜。支持 Claude Code、Codex、OpenClaw。

Project-scoped cross-session memory: seven-layer SQLite store (soul/user/project/fact/lesson/rules/topic) on node:sqlite, cache-friendly first-message injection plus per-message keyword hits, memory_remember/search/find_similar/read/update/project tools, and idle-window consolidation ("dream") with peak-hour suppression. Prompt texts ship as per-language data files — the framework supports multilingual users.

GitHub-topic-driven plugin & skill marketplace: a Settings page that browses the auto-collected registry (the whole dsh-plugin topic plus the skills index, CI-refreshed every 2 hours) with one-click install, type detection, install-script and host-shadow-dependency safety confirmations, env-key management, and the STANDARD.md recognition spec.

UltraCode-style multi-agent orchestration: a generatable, savable, governable, observable, resumable workflow layer.

UltraCode-style multi-agent orchestration: a generatable, savable, governable, observable, resumable workflow layer.

Dynamic workflow for DSH (placeholder).

Paper reading workbench: library + PDF reader + tutor-style companion. Answers cite clickable page numbers that jump back and flash the exact passage; select-to-ask without leaving the paper; bundled strict-tutor preset (reading plan, section coaching, graded quizzes tracked across sessions). With MinerU configured (self-hosted, no signup / mineru.net cloud token): scanned PDFs become readable, formulas become click-citable (one click sends the LaTeX source into the chat) and searchable (QK^T hits directly), plus a per-page formula panel; optional embeddings endpoint adds semantic recall for plain-language questions. Rename/delete topics and papers — deletes go to a recoverable .trash with a batch-clear flow for non-empty topics; reader with scroll/single-page modes, rightbar-fullscreen safe, one-click path copy and translated-PDF export; in-place original ↔ Chinese toggle (babeldoc, zero preinstall). Transcription and search run locally by default — documents never leave your machine; only when cloud MinerU, an embeddings endpoint, or a translation endpoint is enabled does the corresponding text go to the service you configure.

Select text in a committed DSH response to open an independent, persistent, read-only multi-turn Topic bound to source-session evidence and project files while the source Agent keeps running.

ROS2 debugging toolset and robot-state vision analysis for DeepSeek Harness: node/topic/service/action/interface/TF enumeration, whole-graph topology JSON, rosdep checks, approval-gated builds and custom message scaffolding, GUI screenshots and multimodal vision observation, plus headless RViz2 offscreen rendering (low-poly meshes, direct pixel read, GPU passthrough - motion rendering at 30Hz) with parallel VLM realtime analysis.

Transparent rankings and recommendations for the DSH plugin ecosystem: daily auto-fetched topic data, an open scoring model, and rank/search/recommend tools with a settings-page leaderboard.

Cross-session persona and diary for DeepSeek Harness: a local gate decides whether a turn is worth remembering, then one extra model call turns it into a first-person diary entry plus an impression of the user, where every impression carries the specific moment that produced it. Later conversations inject about 2000 tokens of that as a self-memory block in three registers: a persona core, a section for judgements the model wrote itself, and the diary. There is a tool for the model to record a judgement in its own words, and a plain markdown hand-note file the human can write into which the plugin only ever reads. A sidebar panel lets you read, forget or export the archive, and forgetting demotes an entry rather than deleting it, so an old one still surfaces on a strong topical match. Local-only, secrets are stripped before anything is sent, and the archive is a plain folder you can read, edit or carry to another account. Zero runtime dependencies, no build step.

DeepSeek Harness (DSH) 跨会话记忆插件：对话模型边干边记的 Markdown 项目记忆，支持专题文件渐进式披露、可选后台静默蒸馏、按项目隔离与热更新设置面板。机制对齐 Claude Code auto memory。 | Agent-maintained cross-session Markdown memory: progressive-disclosure topic files, opt-in silent distillation, per-project isolation. Claude Code-aligned.

Install this plugin and DSH can operate your Zotero for you: search the library, read PDF full text, summarize highlights and notes, organize collections by topic, import your downloaded papers, and attach a translated version back to an item. The right sidebar also gains a Zotero library panel that brings an item, an excerpt or a whole collection into the conversation with one click. Model-side actions need Zotero's local API plus the Zotero MCP plugin (write operations enabled); the sidebar panel needs only the local API.

The complete #dsh-plugin mall inside DeepSeek Harness: browse, search and score the full GitHub dsh-plugin topic catalog refreshed every 2 hours, AI pre-install review with install/caution/avoid verdicts, five-dimension scores with radar charts, nine-language UI, editor picks and personalized recommendations, one-click install/update/rollback with a global task panel, and an in-agent /dsh-mall skill.

Smart session titles for DSH: after each conversation turn an independent auxiliary LLM call summarizes the full user+assistant transcript into a title that follows the session's real topic instead of echoing the first message; the first message is titled instantly, failed built-in titles auto-retry on later turns, manual renames are never overwritten, and subagent/fork sessions are skipped.

WeChat official account AI writing pipeline: six-step article runs (topic, outline, draft, gates, render, images) with a launch brief contract, a hot-topic board with per-item AI digests, RRULE scheduling to the draft box, a workbench UI plus chat tools and a /wewrite command, and fail-closed host approval before any draft-box push.

OneBot v11 hub: sits between an upstream OneBot implementation (LLOneBot and similar) and downstream bot implementations, relaying events and actions verbatim, and gives the agent a per-session timeline, an action ledger, layered memory (active topics and tasks, long-term events, person and group profiles) and onebot_* tools for replying, media, members and raw API calls.

Telegram sessions, topics, model controls and approvals for DeepSeek Harness.

Drive a dsh agent from Telegram: one chat topic per project directory, voice and photo input, ordered per-topic job queue, per-topic goals and task checklists, session forks and branches, live progress message, command menu in en/ru/zh, and control commands for models, plugins, sessions and logs. Search the plugin registry, read a package card before installing, and update every plugin with one tap. Requires a Telegram bot token and your numeric user id in allowedUserIds.

Adds Codex-like projectless drafts with per-project draft switching and date-and-topic directories created on first send; supports Windows DSH Desktop 0.2.1-rc.2 without an archive patch or external installer.

Talk about everything in one chat (the main chat): each message is routed automatically to the topic it belongs to, each topic runs in its own background session with its own context, and existing DSH chat history is organized into topics.

Context Assembler plugin for DeepSeek Harness: topic-block context assembly, water-pressure topic splitting, tool trace/rewrite, reality recall injection and handoff planning.

A super-simplified LLM-wiki memory plugin: one index document (auto-loaded) + one markdown file per topic (read only when needed) — no dumping everything into the context and burning tokens. Simple and lightweight, painless to install/uninstall, and freely editable however you like.

A writable, git-versioned self for DeepSeek Harness: persona files injected every turn, a persona-only memory layer, topic-keyed journal→dream promotion gated by your 👍/😑/👎 ratings, whitelisted self-upgrades, and a Settings persona tab.