Plugins

A faster, more efficient, and more accurate coding Agent preset. On 100 hard SWE-bench Pro tasks selected using multidimensional difficulty criteria, average elapsed time decreased by 36%, average input tokens per task decreased by 17%, and accuracy increased by 5 percentage points.

Voice input plugin for DeepSeek Harness (dsh): a microphone button in the composer turns speech into a draft transcript, with a choice of speech-recognition backends, optional polish through dsh own LLM routes, and a native settings page.

One-click optimization of a raw instruction into a professional prompt: three output styles, situation-aware role/task/goal profiling, multi-sample selection scored by a model judge, self-iterating learning (session memory + smart defaults + user overrides), /template for 22 sub-scenes with zero model calls, input-box ✨ one-click optimize/undo, prompt_optimize tool, auto-optimize hook, a runtime status page, a settings panel (dsh 0.2.0) and auto-detected zh/en documents.

Connects Qoder subscriptions to DeepSeek Harness, supporting Global and China regions, multimodal input, and tool calls.

MCP management panel for the DSH web UI: per-server status, transport and full tool input schema, with add/edit/enable/disable/remove in global and project scopes, reconnect for global servers, a five-server built-in catalog, and config import from ten other clients with a preview. A project's MCP servers share one connection per (project, serverName) — the first session opens it and the last one closes it — so concurrent sessions reuse a single mcp-client instance; the panel shows how many sessions share it and marks a config change as pending until the connection is rebuilt.

Per-model appearance for the DSH Web UI: an ordered rule list matched against the current session model name, each rule carrying its own wallpaper, theme colour, layout mode, framing and wallpaper opacity and blur, plus per-surface opacity and frosted-glass blur for the main background, left panel, right panel, cards and panels, input and controls, settings panel, conversation text frame and trajectory view.

Input experience enhancement: voice input, AI polish, anti-overwrite, prompt optimization with diff preview, and auto locale switching following DSH UI language.

Chinese long-form screenwriting skill: two input blocks (background + character bible) feeding a causal-value engine, anti-AI-flavor review, and a continuity ledger; works on Codex / Claude Code / dsh / zcode.

A mid-run steer input for DeepSeek Harness Web: while the agent works, an input bar appears above the composer to inject modification requests into the next decision via agent.steer(), without stopping the conversation. Drafts persist per session, unread injected messages can be recalled from the bubble, and an optional guiding prefix is supported.

Directed fuzzing driven by an LLM agent: from a target repository and a bug (CVE description, patch, crash trace, or file:line), it runs a PLAN, IMPLEMENT, EXECUTE, REFLECT loop in which the model writes Python input generators, until an input triggers the campaign's stderr-pattern oracle or the campaign stops.

Brings WorkBuddy desktop-app experts into DSH: a settings-page market scans the local WorkBuddy expert directory (experts land there after you summon them in WorkBuddy) read-only for browsing, search and category filtering, with one-click install (exported to ~/.dsh/experts/ as role prompt + skills + avatar), update and uninstall; a picker capsule next to the input box switches the current session's expert — swapping role prompt, skills and an optional tool whitelist wholesale while keeping full session history, applied at the next model-request boundary.

Terminal-style input history for the web composer: edge-first arrow-key recall with exact draft/caret restore, browser-local persisted history, Ctrl+R reverse search, and sliding-context awareness; 0.5.0 adds a smart input layer — cross-session snippets (/save, /load), prompt templates with variables, reuse insights, and compaction-summary highlighting.

Connector only, it renders nothing itself: subscribes to DeepSeek Harness session events and folds them into a 12-phase work state (planning / thinking / executing-tool / streaming / waiting-input / voice / awaiting-approval / complete / error / paused / idle / heartbeat), then POSTs each phase to a desktop-pet backend at http://127.0.0.1:8000/api/plugin/dsh/ingest. It holds no window. No API key or token is needed. Requires the Mao Live2D pet application to be separately installed and running (that is a Windows Electron app with its own PowerShell 7 / Python 3.10+ / Node 18+ prerequisites); without it this plugin has nothing to push to.

DSH input assistant for next-message prediction, draft autocomplete (text completion), and prompt polishing/rewrite. Session-local suggestions; Tab accepts into the draft without sending. Requires a configured model; calls may incur charges. Source-available; modifications require prior written permission.

Animated mood icon: swaps the favicon, sidebar wordmark and hero headline for bloub expression animations that follow session state (working / awaiting input / done / idle), with 8 shapes, 12 colors and custom wordmark texts configurable in Settings.

Adds an animated ASCII whale ocean behind empty chats, with neutral frosted-glass input, visual color selection, light/dark support, and configurable whales, fish, grid and wakes.

Replaces the chat composer with an editor-style input panel on CodeMirror 6: line numbers, edit + markdown-preview split, a floating window mode and a full-height sidebar tab — one input surface at a time. Drafts ride the official input machine; the official voice-input button is rendered when the host provides one, and the stats row and context meter read the same data as the official dock.

Magpie gateway provider for DSH: syncs gateway models into the picker with visibility control, image input and thinking levels.

Voice input for the web UI: dictation chunked by pauses and voice messages, each with its own provider fallback chain (Deepgram, Groq, HuggingFace, local whisper.cpp, or an OpenAI-compatible endpoint).

Settings page for per-model capabilities: reasoning-effort levels with their wire spellings, input modalities, and token capacities, written as declarations or sparse catalog overrides.

Shows the current session's equivalent cost in the stats bar below the input, priced from a bundled table of published token prices. Uncached input, cache reads and writes, and output including reasoning are priced separately; model changes add up as separate per-currency segments; subagent costs are included. Clicking the cost opens a per-session and per-subagent breakdown.

Typing the Chinese enumeration comma 、 at the start of the DSH input box opens the native / command menu; the existing filtering, keyboard and mouse handling and argument panels are unchanged, and 、 used mid-sentence is unaffected. A 、 typed as the first character always becomes / (there is no escape); needs DSH 0.2.1-rc.5 or newer.

Connects Huawei Cloud CodeArts to DeepSeek Harness with built-in OAuth2 sign-in (PKCE + DPoP) or a pasted token, after which CodeArts models are available in the DSH conversation window. Reads per-account credit balance, expiring credits and daily check-in from the CodeArts credit API, counts requests and tokens locally, and shows a per-account credits popover under the chat input box; the credits line and the upstream queue hint can each be turned off in settings.

Skill marketplace with unified search across SkillHub and ClawHub, in-app README preview, one-click install and uninstall, an installed-skill list, and a chat-input skill picker.