Plugins

Standalone Network Engineer Assistant agent preset plus a bundled 32-doc command knowledge base skill for DPtech, H3C, Huawei and Ruijie switches and routers: KB-first retrieval, cross-vendor command translation, topology and CLI-output screenshot reading, online manual lookup with cited sources, and mandatory risk annotations for dangerous commands; answers networking topics only.

Turns each long dsh conversation into a three-level trail (topic to progress steps to milestone timeline) and shows it in a draggable overlay, where one click jumps back to the matching message in the transcript. Topics are distilled by the DeepSeek model with a zero-cost rule-based fallback, can be renamed, locked, merged by drag and drop, and support per-conversation notes plus a vector drawing board.

Offline mirror of the official DeepSeek Harness documentation as a dsh skill: 168 site pages (EN/zh) plus 52 repository-only reference docs, with topic navigation and a full-text search index for plugin development.

Open plugin marketplace: live GitHub dsh-plugin topic search with per-repo package.json verification (dsh.bundle/dsh.client manifest badges and a verified-only filter), npm-first installs with same-source anti-squatting checks, update detection, and five agent tools for headless use.

Plugin marketplace for DeepSeek Harness — live-syncs the GitHub dsh-plugin topic (1800+ repos) into a searchable, paginated settings tab with one-click install and agent tools (market_search / market_install).

Connects the hosted Knowra MCP server: search arXiv papers by topic, author or exact UTC dates without an account, and sign in with OAuth from the plugin page to read Scout reports on methods, evidence and limitations.

Layered long-term memory for DeepSeek Harness: each turn injects a persona frame plus a relevance-ranked memory index while full transcripts stay on disk and are expanded on demand, so the vault never floods the context window. Facts are slot-keyed, so a changed mind retires the old value instead of recalling two contradictory answers. The persona frame is derived from memory by the model itself, behind three anti-pollution gates (rejecting development chatter, blocking echoes of its own injection, and merging restatements by shared content words). Periodic consolidation merges near-duplicates, rolls long topics into digests, and archives low-value old entries by tagging only — raw text is never deleted. The append-only store is compacted in place (measured 4.7 MB to 355 KB). Zero third-party dependencies, no build step. Note: per-turn injection inevitably lowers prompt-cache hit rates, so this plugin is not recommended for work scenarios.

Multi-provider quota & balance glass card for the DSH sidebar footer (11 providers incl. StepFun / Xiaomi MiMo / Claude with one-click browser login; Step Plan credit). Installable from the dsh-plugin marketplace (GitHub topic "dsh-plugin") or via file: l

Configuration UI for the official OpenViking memory plugin: connection and user-key setup, local connection diagnostics, a per-session memory toggle in the composer, memory isolation that keeps recall inside the current topic, and recall tuning for score threshold, injected item count, query expansion and excluded URIs.

Feishu/Lark gateway for DeepSeek Harness with topic-persistent conversations, live execution cards, image and file inputs, in-chat approvals and questions, source allowlists, and durable one-time or recurring agent tasks created in natural language.

Chat turn accordion: every interaction folds into one row with a time pill and question summary, only the newest turn stays open, and switching sessions or starting a new turn resets the open state; the execution process opens only on its own click.

Feishu/Lark bridge for DeepSeek Harness (dsh): one Feishu topic = one dsh session, in-card approvals and questions, streaming cards, model and permission switching, Web settings page, long connection with no public endpoint.

A timer wakes a DSH session to read the GitHub repos and topics you follow, decide which changes are worth your time, and write a dated report while keeping a table of what it already saw. A sidebar panel keeps the run history and the GitHub trending list. Read-only.

Learning Mode toggle in the input toolbar: injects a teaching prompt into the current session so the assistant introduces a topic, teaches it, tests it, and corrects mistakes, rendering graded quizzes through GenUI. Requires the GenUI plugin (@changfenhuang/dsh-genui); without it the teaching text still works but quizzes, sliders and charts degrade to plain text.

Read-only DeepSeek web archive tools for DSH: list/download/search sessions, share-list, and a digest tool that compresses the 100-session history into one high-density page with activity bars and topic clusters. Write operations are intentionally not exposed (the web client rate-limits them). Requires the separately installed deepseek-ops Python client (github.com/Panniantong/deepseek-ops, by another author) with QR-code login; set scriptDir to its path.

Dead-loop / repetition detector for DeepSeek Harness agents — hard-interrupts text loops and same-topic search retries that soft reminders miss.

DeepSeek Harness (DSH) 推理等级自动选择插件：由 Jev System One 模型判断每条消息值多少思考量，按模型声明的等级自动推导档位，上下文信封让「继续」这类追问继承话题深度，低置信度向上取，任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model advertises, a fixed-size context envelope so follow-ups inherit topic depth, ties break upward, silent fallback on every failure path.

On-demand memory for DeepSeek Harness: session logs are distilled into layered markdown (a summary, an index and per-topic files), and a mem_query tool returns only the matched entries rather than the whole index. Nothing is injected per turn, there are no dependencies, and every entry keeps a source pointer back to the conversation it came from.

Layered cross-session memory for DSH that pushes only what changed - the first round injects every active entry, later rounds push only added / updated / removed ones, and nothing at all is injected when nothing changed, with keys that merely repeat an entry id left out of the text so the baseline is about 26% smaller. Facts and decisions carry semantic keys (one active truth per key), the model may only write to an inbox that a human promotes, an entry can carry a review date that raises a one-time reminder when due, and search is relevance-ranked with journal lines down-weighted and Chinese matched by bigram. A sidebar tab tells the lifecycle story instead of listing files - entries are grouped by stage (awaiting confirmation / in use / archived) along four axes (topic - one level, human-assigned, type, tag, date), each group can be ticked for batch promote / withdraw / archive / restore / delete / assign topic, and topics can be renamed store-wide or searched on their own. The archived stage reads in three levels - the category says why an entry left (distilled into the docs / useless for good / not needed right now, the first two being defaults you can add to), below it the entry topic stays collapsed until you click it, and entries with no topic sit right under the category. The tab also shows the global and workspace instruction files plus the current injection size. A zero-dependency CLI ships with it, so the store is usable without DSH.

Reformats dsh session titles as "date | type | topic" (type and topic are summarized by a model from the full conversation), and hides unused sessions from the sidebar without deleting them.

Token-free Chinese classical poetry tab in the DSH conversation view with search, filters, 飞花令, daily poem, favorites, festival topics and a share-card image; AI explanation reuses your own DSH session.

One-step GitHub uploader: initializes git, auto-creates or improves README, sets repository topics, and pushes a local project to GitHub.

Real-time hot topics panel for the DSH web GUI: AI news and engineering news, each item with a distilled summary and the source link, shown from a sidebar entry with three views, keyword/source filters, read-state marking and hotkeys.

Static-only plugin gate and clinic for DSH: audit before install, hash-and-capability lock after install, local fingerprint peer search over GitHub topic:dsh-plugin, and mechanical detox. Never executes the target plugin.