Plugins

Curated file-based long-term memory for DeepSeek Harness — human-readable markdown notes, one plain-file store shared across hosts (git-ignored when it lives inside a project repo), and a deterministic index cap enforced by ctx.tools.guard()

Profile-wide DSH governance and routing with a Web Control Center for responsibility and evidence inspection, plus compaction, scoped semantic memory, safety continuity, and verified delivery; compatible with DSH 0.1.5-rc.1.

Pre-submit pull-request hygiene checks inside DeepSeek Harness: scans the current diff for TODO leftovers, hardcoded secrets, and non-conventional commit subjects.

DeepSeek Harness 插件：一键安装「极简模式 (Git Bash)」agent preset —— 把 DSH 自带极简模式中的 bash 调用映射到 Git for Windows 的 bash（MSYS），让 Windows 上的极简模式真正可用。

A Live2D whale-girl companion for the DeepSeek Harness Web UI: the model stays on screen and reacts to what the agent is actually doing (thinking, tool calls, streaming text, errors, turn completion); click her to send the agent a message and watch the reply stream into a speech bubble; right-click for a menu of expressions, dress-up items, desk scenes and one-shot animations, every action mapped from the original model author hotkey sheet so nothing overlaps and everything expires on its own. Non-commercial model assets (CC BY-NC-SA 4.0), MIT code, by Andersen216 (https://github.com/Andersen216).

A plugin management panel: one-click enable/disable for installed plugins plus a GitHub dsh-plugin marketplace with details and one-click installs.

Persistent enhanced web search: multi-engine routing (DeepSeek/Exa/DDG/Bing/Jina + GitHub/Bilibili/YouTube/V2EX/Xiaohongshu/Twitter/Reddit/RSS), SQLite+LRU cache, userscript-style extraction, Playwright rendering.

Design workbench in the right sidebar. Its tools sit in floating groups at the canvas corners and a bottom dock with text labels, and a home screen offers one prompt box, recent designs and large template cards. When the home screen's style is Auto, the plugin picks a style card that fits the subject and hands its colors and fonts to the model; your own words, a chosen card, a reference image or a default brand design system take precedence. Each design gets its own folder. When a design needs photos, the model can copy from a library of 64 AI-generated placeholder images in 8 themes (about 8 MB, downloaded from npm the first time they are needed; made with OpenAI image generation and screened by a person, not real places, products or people); export and handoff remind you to replace them before launch. When the model builds web pages, app screens, desktop app windows, WeChat mini programs, posters, slides, emails or diagrams (mind maps, grant-proposal style technical route charts, product roadmaps and architecture diagrams, with lines and arrows laid out automatically and a fixed size for export to Word or PowerPoint), each HTML file shows up as a screen on a canvas inside a device frame and refreshes when the file changes; screens far from the view show a background thumbnail and load the live page when you move closer; while the model writes a page, the sidebar grows with it and a few cursors draw boxes, fill colors and type where it is writing, with a timer in the status bar; local dev servers are proxied with hot reload intact, and an existing HTML file or folder opens by browsing or by dragging it into the sidebar (desktop app). A design library gathers every design you made in any session, your saved inspiration (reference images, URLs, style cards) and a design market of shared templates, design systems and style cards (16 templates, 3 design systems and 20 style cards to start; search, filters, full-size screens and a live view; an offline copy ships with the plugin): start from one in a click, or share your own design to the market after a personal-data scan and an offline design check; after connecting GitHub once (public repositories only), submitting takes one click, and the web form still works. Mini program screens get the WeChat capsule in the top-right corner, which turns white over a dark top bar, and the design check flags text and buttons hidden under it. App and mini program screens follow platform layout (status and nav bars, a tab bar of 2 to 5 items, safe areas), desktop app screens get macOS traffic lights or Windows caption buttons, and the design check flags content under the Dynamic Island, the home indicator or the window buttons. Click an element or drag a region to put its selector, source file and styles into the composer, or draw on the preview (pen, highlighter, arrow, box, circle, text) and hand the marked-up screenshot to the model; picks, markup and style changes appear in the composer as small chips while the model still gets the full text. It can extract a brand design system from your website or project (colors by role, fonts, type scale, radius, shadows, buttons, inputs and cards) and use it for every new design. The model adds a few tweak sliders to each design (spacing, radius, brand color, layout variants) that update all screens live and write back to the stylesheet in one click. A finished design can be turned into React, Vue, Next.js or plain HTML code, or for mini programs into uni-app or native WeChat code; existing uni-app (including HBuilderX projects without package.json), Taro and native mini program projects are recognized so new pages go straight in, and each built screen is diffed pixel by pixel against the design. Also has a design tokens panel, twenty style presets (each a live sample screen you can open full size), a style panel (font size, colors, radius, padding and more) that writes back to the HTML or hands the change to the model together with the CSS rule and line behind each property, versions saved before and after each turn with drag-to-compare and restore, export to images, PDF and PPTX (links between screens stay clickable), a LAN QR link for viewing on a phone, link arrows and a click-through try-it mode, a multi-size view, in-place text editing, reference-image palettes, and a design check (overflowing, clipped or overlapping text, contrast, tap target size and more). Bundles a ui-design skill and seven tools: preview_page opens a preview; check_design measures every screen at real sizes in a hidden local Chrome or Edge (bars covering content, script errors, missing assets, dead links; CSS file and line for contrast and font-size issues; cropped screenshots of serious problems); look_design hands real screenshots to the model; extract_design_system builds a design system from a site or project; handoff_design writes a handoff pack (screenshots, routes, tokens, shared components); compare_design diffs the built local page against the design and marks what differs. find_photos copies matching placeholder photos from the photo library into the design. Adds a Design mode for new sessions (Standard mode's tools plus the skill, the seven tools and a design persona); each part has its own switch on the Plugins page. When DSH is opened from a phone or another computer, local-file designs are bundled into a sandboxed frame so they still show, and unchanged screens are not sent again. An experimental option, off by default, has the model also write business annotations (rules, states and edge cases the UI does not show), shown as numbered markers on the page and cards in the sidebar and passed on in code handoff.

You.com agent skill provider and MCP setup for DeepSeek Harness (dsh), registered via ctx.skills

Cross-session long-term memory as a local SQLite store: dual scopes (user + per-git-origin project), hybrid FTS5 + local-vector retrieval fused with RRF, an evidence gate that forces an explicit sufficiency judgement, provenance audit chains, SM-2 spaced-repetition review, consolidation distillation and decay forgetting, and a nine-view "Memory Palace" sidebar panel. 22 narrow-parameter tools, no external service, no API key, no Docker.

Commit-time audit harness for AI coding agents: 28 git-diff rules (secrets, out-of-scope edits, prompt injection), HMAC-signed audit trail, snapshot rollback, and a full MCP toolset. Installable via dsh plugin add.

Recall any user message: rolls the conversation (official session fork) and workspace files (per-message shadow git snapshots) back to before it, with a diff-preview confirmation panel.

Windows plugin that swaps the host shell executor for Git for Windows bash across every agent mode, materializes Git Bash variants of the standard, minimal, PTC and Cordis presets (per-file sha256-marked, user edits preserved), and exposes a gitBash capability so companion presets pick Git Bash automatically; when dsh-better-sidebar is installed it also adopts that sidebar's terminal shell (UI tabs and the model-facing terminal_* tools) through its official settings seam.

DeepSeekBot: the open-source Grok Bot alternative for DeepSeek Harness. PersonaBots with their own identity, Git Memory, Groups and Lark, Slack, Discord and WeChat identities.

IDE-style Git panel in the DSH Web GUI: a resident tab with a three-column overview (branch/tag list, searchable commit-history graph, commit detail with changed-file tree and message) and a changes page (stats bar, uncommitted list with per-file stage/unstage/discard, commit box with amend); side-by-side diffs carry lazy highlight.js syntax highlighting, on-demand between-hunk context expansion and word-level intra-line emphasis, with image files shown as before/after panes; plus a zsh-style branch marker in the input bar. Every git command runs as an argv array through the host subprocess service, cwd locked to the repo root.

Puts the Markdown documents, source files, images and video that already exist anywhere in the session workspace into the DSH sidebar, ranked by relevance to the current conversation. The default lexical mode matches your recent messages against title, summary and body locally with IDF weighting (BM25) — no model calls, no network, nothing leaves the machine. The list comes from scanning the workspace rather than from a recent-files list, so restarting DSH or opening a new session does not empty it. Results are organised into a three-tier reading order (primary / supporting / related) with a verifiable reason on every row — which field matched, which document cites this one — and one click opens an in-place preview: Markdown as rendered text, relative-path images actually drawn, source code with the host's own syntax highlighting, video streamed over HTTP Range. The same Context Pack is exposed to the agent as a knit_docs tool. Later versions added read evidence and lifecycle tracking (attribution is frozen at the moment of reading), pin / exclude (exclusion applies before retrieval, and is undoable), relation evidence (references / imports / tests, with line numbers) and an incremental index reused across restarts. Since v0.23 there is also an optional hybrid mode: it is off by default and only runs once you configure an Ollama or OpenAI-compatible embedding provider yourself. When it runs, what leaves the machine is your query text plus each candidate file's title and summary — a Markdown summary is an excerpt of the body's first paragraph (at most 60 characters), a code file's summary is its workspace-relative directory, and an image or video contributes its file name; full bodies and absolute paths are not sent, and a loopback provider keeps everything on this machine. Since v0.24 it also associates uncommitted changes: a read-only git status (fixed argv, no shell, whitelisted child-process environment) combined with the same reference / import / test / mention evidence shows which files a change is likely to drag along, and it is off by default. The benefit of semantic retrieval still awaits a real-provider run, so no recall improvement is claimed.

Run Claude Code, Kimi CLI, Codex CLI, PI CLI, OMP CLI, OpenCode and CodeBuddy CLI (off by default, unverified) inside DeepSeek Harness sessions over ACP, with a CLI and model menu, a git changes panel and worktrees in the Web and Desktop UI. Needs each CLI installed and signed in (OMP, OpenCode and CodeBuddy must be installed first). The CLI runs outside the DSH sandbox and decides what to ask: only Claude Code in manual mode and OpenCode with ask permissions raise DSH approval cards, Codex, PI and OMP run commands without asking.

Session-level superagent: watch one GitHub repository and wake this session when an issue or pull request changes; requires a logged-in gh CLI, and the credential never reaches the model.

Brings active DSH sessions into a 3D 'Overcooked' kitchen: AI agents work, whale-girls wander the kitchen, and you watch from the side; status bubbles show who's cooking, waiting, or done with one-click navigation — originally built to check progress, now you just can't stop watching the whales.

Configurable deterministic session titles for DeepSeek Harness from semantic prompt fields and templates.

Adds a celebratory fireworks overlay to the DSH Web UI through a happy_fireworks agent tool.

Adds a Worktree view to DSH Web UI that groups Sessions by Git worktree while keeping DSH as the source of truth.

Cursor-style IDE mode for DeepSeek Harness: one click on a workspace menu turns the main panel into a VS Code-like workbench with a Monaco editor, file tree, Git panel (commit graph, push/pull, per-file revert), SSH hosts and a real PTY terminal on the left, while the official DSH conversation stays docked on the right so tool calls, file edits, approvals and session history keep working as you code. Built on a craft-first belief: write it by hand, understand every change, treat AI as an assistant and stay the first owner of your software.

Off-peak batch runner for DeepSeek Harness: users define tasks during busy hours — prompt, strategy, priority, workspace, locked files — and release them by hand; the plugin then runs the batch automatically inside user-defined off-peak windows. Each run passes five preflight checks (workspace, git HEAD, locked-file sha256, window fit, daily budget), supports four execution strategies (single / iterative / sampling / review) and three autonomy levels (L1 per-task, L2 batch, L3 full-auto), and closes the loop with a morning report containing diffs, actual spend and savings from a daily ledger aligned with official peak/valley pricing.