Plugins

Adds the models of your own GPU Hugging Face Space to the model selector, starts the Space when you send a message, shows its start progress, and pauses it when idle or at a time limit. Requires a Hugging Face account with a GPU Space serving an OpenAI-compatible API, a Hugging Face token stored in the DSH vault as HF_TOKEN, and a paid plan for GPU hardware; Hugging Face bills the GPU time.

DSH model provider for Cohere — OpenAI-compatible wire by default, Cohere's native v2 lane for citations/RAG/thinking-budget. Direct wire adapter, no proxy.

Kiro (AWS CodeWhisperer/Amazon Q) provider route for DeepSeek Harness, plus an OpenAI/Anthropic reverse proxy. Reuses the existing Kiro IDE/CLI sign-in.

Reasoning translation for the DSH Web UI: template HTTP translation sites, or a model route through a Harness-registered provider or a custom OpenAI-compatible provider declared in the plugin.

List the LLM provider routes a running DSH process registered and run one real streamed call.

Run the local Cursor CLI agent on a coding task in a workspace and continue the run by chat id.

Exposes every model of every provider configured in DeepSeek Harness through one OpenAI-compatible endpoint on a fixed loopback port, with a sidebar page for the base URL, key, port and model ids.

Adds Standard Compute as an OpenAI-compatible model provider through the built-in pi-ai adapter, with its standardcompute router model and two direct model pins; configuration only, no code.

Tiers free-channel models into three 1M fallback chains plus a custom chain; orders them by measured throughput, drops models below throughput or error-rate thresholds, and rotates accounts. Requires an OpenAI-compatible gateway (default :8326).

OpenAI-compatible HTTP endpoint for DSH sessions plus a phone panel that reads transcripts, browses files, sends or queues messages, and answers approvals and questions.

Adds an Omni-modal settings section to DeepSeek Harness that points the harness at any OpenAI-compatible image and video endpoint: switchable config profiles with separate endpoint, API key, model, path and size for each side, free-form extra request parameters, a connectivity test that does not spend generation quota, and three model-visible tools — generate_image, generate_video and check_video — with async video tasks that survive restarts.

OpenAI-compatible web search provider for the built-in web_search tool: one baseURL/apiKey/model config powers Qwen Token Plan, OpenAI and any Responses API gateway.

Generate images and videos directly in chat and deliver them to the conversation: generate_image / generate_video / send_media tools, a built-in Agnes free tier plus any OpenAI-compatible backend, background jobs that auto-push finished media, and inline gallery and video cards with download, lightbox, and native open.

Select text in the DSH web client and a translate button appears at the end of the selection; clicking it translates that text in place. Translation goes through the host llm service, so it reuses the model the current session already has selected and needs no separate API key; an OpenAI-compatible endpoint can be configured instead. The result opens in a popover that stays inside the viewport, with one-click copy, a row of language buttons for instant retranslation, and smart Chinese-to-English / other-to-Chinese as the default. Configuration is stored host-side and its API key is never sent to the browser.

Select a passage in a DSH conversation and read a plain-language explanation in a floating panel, which carries the surrounding message as the context. Three explanation depths (plain / general / pro) that re-explain on the spot when switched; optional web search and local file lookup (the model decides by default, and a button can force one lookup that reports only what is new); follow-up questions; and a button that hands the whole exchange to a new session in standby mode - the background is queued without waking the model or spending tokens. Settings live on the host in settings.json, and nothing is written until you press save. The repository also ships an OpenAI-compatible endpoint and a browser extension (source).

Adds two visual pages to DSH Settings. MCP servers are kept as a JSON source of truth that rewrites the profile patch managed block, with YAML validation and timestamped backups, plus import of a pasted mcpServers JSON that first lists what will be added or overwritten. Thinking unlock probes each OpenAI-compatible gateway for the reasoning efforts it really declares and writes the per-level config back while leaving other hand-written YAML byte ranges untouched; the available model list syncs from a separate button that previews additions and removals, then writes levels and models in one atomic pass, and can also run on the page schedule.

Image generation for DeepSeek Harness through an OpenAI-compatible relay (configured for `api.ykh.ai` / `gpt-image-2`).

Composer prompt polisher: a button in the input tool row rewrites the current draft through the session model (workflow engine, enabled automatically) or an OpenAI-compatible standalone API with host-side key storage, backfills the rewritten text with a replace/give-up dialog when the draft changed mid-run, and ships concise/structured style presets, custom templates with a {draft} placeholder, one-click restore from the status dock and reference-chip protection.

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.

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 (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

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.

Floating translucent DeepSeek whale elf on the DSH page that opens a draggable, minimizable temporary chat window using the session model or a custom OpenAI-compatible endpoint, with real-time streaming.

Adds Token Market as an OpenAI-compatible model provider with DeepSeek V4 Pro, Kimi K3, and GLM-5.3.