Plugins

DeepSeek Harness (dsh) plugin: live local LLM endpoint health in the web rightbar. llama.cpp slots (busy/TTFT/wedged, /metrics) + Ollama MODELS (loaded vs empty). Engine fingerprinted by response shape. Installable dsh.bundle.

Model relay station for DeepSeek Harness (模型中转站): serve any registered DSH LLM provider (e.g. @tnnevol/dsh-codebuddy) over an OpenAI-compatible /v1 API, so other projects can call those models with a standard OpenAI client.

DeepSeek Harness plugin that asks which provider and model should run each delegation before the child starts, so a subagent can go to a cheap or local route instead of the parent's.

DeepSeek Harness (dsh) plugin that connects Sber GigaChat models: a built-in local OAuth proxy (client-credentials -> OpenAI-compatible endpoint, upstream serialization, legacy tool-calling translation) plus automatic provider-route bootstrap, so GigaChat

DSH bundle: WeChat floating-ball bridge (QR login, message relay, ClawBot model config) — maintained fork of lubaiUwU/DSH-WeChatClawBot

A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, hidden-models blacklist, live per-task cost, prices and context windows, a refresh button that re-syncs every provider model list from its live API, and the

Keep DSH provider model catalogs current with the living models.dev catalog: refreshes each provider's models (new and existing) with updated modalities and thinking levels — automatically and from one refresh button in the Models page. / Utrzymuj żywy ka

Measure whether a dsh setup change actually helped: register repeatable cases, run them, and diff the results before and after you change rules, skills, or models.

Track token spend and enforce budgets for every model call your dsh agent makes.

Run the same prompt through every model you have, and see the difference without squinting.

Connects the locally signed-in WPS Comate desktop account to DeepSeek Harness as a model provider, via a secure loopback shim.

Brings the models included in the Xiaomi MiMo desktop app (free during beta) into DeepSeek Harness, with zero configuration in the DSH conversation window.

Adds a whole-corpus usage statistics page to DSH with daily and cumulative tokens, cache hit rate, per-model breakdown and a year-long activity heatmap, all read from the provider-reported usage.

A DeepSeek Harness plugin that gives the model a tool to set the session title using rules you define. DeepSeek Harness 插件：给模型一个按你自己定义的规则设置会话标题的工具。

Enable or disable model providers, search models in the selector, and rename provider display names.

OpenRouter provider that reads the live /models list, so new models appear without a harness release: models sorted by name with input/output prices, per-model reasoning levels, image input, reasoning_details replay, Anthropic prompt caching, and actual spend per session including subagents from OpenRouter usage.cost, shown under the Web UI composer and by /cost.

DeepSeek Harness 模型优惠时钟 —— 实时显示此刻最划算的模型、全天成本热力带、限时优惠倒计时与「等一等更省」调度建议，并汇总各家资源包特惠。内置国内 11 家平台的时间窗优惠数据，每条优惠均带官方来源与核实时间。

Loopback-only ACP door for DeepSeek Harness: connect VS Code and other local clients to a running kernel over the local loopback address, sharing its models, tools, memory and sessions. Browse history, change permission modes and call capabilities registered by DSH plugins.

Scene-awareness probe for DSH on macOS: a privacy-first, pull-model `look` tool that reads the frontmost non-self window (app info, AX title/selection, gated local OCR), plus a summon-hotkey snapshot captured the instant you press.

A `jev` tool that asks Jev (TypeSafe System One) typed yes/no, choice and score questions about one block of text and returns probabilities and confidence, with the provider and API key configured per user in Settings, a judgment ledger with its spend, and daily call and token caps.

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.

OpenCode Go provider that verifies a model against the gateway rather than treating a recommendation as a measurement: the models.dev protocol suggestion is probed before it is used, reasoning levels follow a measured contract, and requests run through an ordered protocol fallback chain. Context window, max output and image-input numbers are declared by a runtime-refreshed models.dev layer rather than probed, with operator overrides above both. Several OpenCode Go credentials can be stored and switched from the settings page.

Brings the Codex (ChatGPT Plus/Pro) subscription already signed in on this machine into DSH. It (1) shows the 5-hour and weekly windows with their reset times and the remaining reset credits in a sidebar panel, with one-click reset that consumes a credit; (2) registers the subscription route in llm-pi-ai (openai-codex) when the quota is read, so the Codex models appear in the model picker; (3) refreshes the OAuth access token before expiry and writes it back atomically, so no key has to be replaced by hand; and (4) adds a codex tool that delegates a task to the local Codex agent. No API key has to be entered.

Declares the wire protocol for the opencode-go route so models the installed catalog does not describe resolve, adds the DeepSeek V4.1 models to that route when they are missing, and attaches a per-conversation x-opencode-session header to OpenCode requests.