Plugins

Tiered compaction hub: replaces the single 80% compaction cliff with a configurable ladder (default 30/50/70/90) whose tiers escalate from gentle to maximum consolidation laws, folds a deterministic keyword index into every checkpoint so facts accumulate across cycles, and summarizes through a model chain — primary plus up to 3 fallbacks, each with its own reasoning effort. Adds a Compaction module sub-tab and a Settings card; toggling off always restores stock compaction.

Holds DeepSeek model calls for the rest of each peak-hour window you configure instead of sending them, so they are billed at off-peak rates; also pauses active goals while it waits and shows the account balance with an 8-hour spend chart.

Configures from the settings window's General page whether Enter, Shift+Enter and Ctrl/Cmd+Enter send the message or insert a line break; the engine default is kept until you change it.

Sync your DeepSeek Harness (DSH) configuration between machines over a private git or WebDAV channel: settings, plugins, MCP servers, skills, agent presets, workspaces and provider credentials. DSH 配置远程同步插件（私有通道，明文自用）。

Multi-instance ComfyUI orchestration: probes every configured ComfyUI endpoint for its GPU, free VRAM and queue depth, then dispatches a generation job to the idlest eligible instance. Ships three tools (comfyui_farm_status, comfyui_farm_pick, comfyui_farm_run). An instance is eligible only if it is reachable, has at least the requested free VRAM, and its queue is no deeper than the configured ceiling; eligible instances are ranked by free VRAM minus queue depth times a weight, so an idle shallow queue wins over a busy large one. Zero runtime dependencies. Optional retry on probe failure, because a single timeout across an SSH tunnel is not proof that an instance is down.

Whale-girl desk pet in the corner of the DSH Web GUI. It sings along to a bundled track while the agent works; when a tool call fails a steel pipe falls on its head. Click it to bonk the basin it wears, which costs 12 rice — knock enough and it gets hungry and wanders off to beg, and rice appears somewhere on the page for it to dash across and eat. Draggable within the viewport, wriggles and complains if grabbed mid-dash, volume and behaviour configurable from Settings. All artwork, sound effects and the song ship inside the package.

Create and configure Agent presets from a single settings section — persona prompt, a checked knowledge-base entry list injected into the system prompt, individual switches for four knowledge-base tools, per-Agent narrowing of MCP connections, and batch knowledge-base import.

Expose every model already configured in your local DeepSeek Harness to the LAN over OpenAI- and Anthropic-compatible endpoints, with API keys, per-key rate limits, a circuit breaker, model filters and usage reports.

9router-backed web search and fetch for DeepSeek Harness. Enabling the bundle automatically routes native web_search/web_fetch tools to 9router; disabling it restores the remaining provider configuration.

Adds configurable HTTP header profiles that can be selected per model.

DSH plugin for bounded agent evaluation: compare an original with candidate prompt or supported configuration changes against user-supplied checks, record evidence and costs, and leave adoption to the user.

Requires DSH >= 0.2.0-rc.2 < 0.3.0. Declare any number of LLM providers, each with its own endpoint, credential and per-model parameters (reasoning-effort vocabulary, image input, retry policy), across the OpenAI Chat, OpenAI Responses, Anthropic Messages and Google Gemini wire formats, configured from a settings page.

Maintained fork of godchen520/dsh-web-search-bing adapted to DSH 0.1.5-rc.1: Bing-backed provider for the built-in web_search tool, scraping the public cn.bing.com HTML results page with no API key, reachable from mainland China, and keeping searches off the model's own search quota. Endpoint and result count configurable.

Automatic tier-based model routing for DeepSeek Harness: a virtual `smart` model classifies each request by difficulty (hard / normal / easy) and by vision need, then delegates it to the models you already configured. 三级难度 + 视觉自动路由，虚拟 smart 模型零配置接入。

Three-mode visible-session advisor plugin for DeepSeek Harness with configurable tool permissions, local-subagent coverage, and task-tree budgets.

Manage SSH identity keys and per-host ssh config from the web settings page, so git-over-ssh works in headless server mode.

OpenRouter free-models browser plugin (dual-face): fetch OpenRouter models, filter the free ones (price 0 or :free), list them newest-first in a Settings tab with local search and full model info, and create a ready-to-use DSH model config (settings.yaml

DeepSeek Harness (DSH) web plugin: per-turn response window. Each turn's tool calls collapse into ONE always-expanded bounded slide (configurable N-line window, inner scroll, nothing hidden), and long assistant markdown gets a bounded scroll window too —

Xiaomi MiMo-powered voice for DeepSeek Harness: browser 🎤/🧠/🔊 UI, voice_transcribe/voice_understand/voice_speak tools, configurable voice map (preset/voicedesign/voiceclone). Fork of zhuiyueya/dsh-voice (MIT), Settings pattern from Anionex/dsh-vision-toolkit (MIT).

Takes the user's own .pptx template plus a course outline (lesson plan / document / plain text) and produces a courseware .pptx that adopts the template's background, color scheme, fonts, and page skeleton. Pure plugin package, no built-in API keys; the image backend must be configured by the user.

Ten live-data tools over eight keyless public APIs: FX rates, weather, npm/PyPI versions, GitHub repo stats, Bilibili video stats, A-share/index/gold quotes, and IP geolocation. Tool defaults are configurable in settings.

dsh web 插件：自动配置模型思考档位与能力，并按 provider+model 记住最后选择的思考档位

Zhihu (知乎) for DeepSeek Harness: wraps the local pyzhihu-cli as 18 zhihu_* tools — 14 read-only (search, hot list, question, answer, user, feed, topic, notifications, collections) plus 4 publishing tools that are not registered until readOnly is turned off — with a web panel in the sidebar for login, config and lookups.

A ✨ button left of the send button: reads the draft and recent turns, asks the configured model for three suggestions each pairing an issue with a patch, lets you tick them individually with a live preview of the merged prompt, and writes the result back to the composer without sending.