Discover The Best DSH plugins
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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.
dsh-llm-model-tuningPer-model reasoning-effort levels and multimodal input settings for custom (llm-pi-ai) providers in the DSH Models settings page. · 为自定义供应商的每个模型配置推理强度档位与多模态输入。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xurunxin/dsh-llm-model-tuningdsh-llm-moe4allDeepSeek Harness plugin for connecting to and managing a local MoE4All inference engine.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Headmaster218/dsh-llm-moe4alldsh-llm-motomotoDeepSeek Harness bundle for MotoMoto's OpenAI-compatible endpoint: a pi-ai provider route plus a status card in Settings - Plugins.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HandsYe/dsh-llm-motomotodsh-llm-multimodalDSH 插件：在 DSH 中提供图像/视频生成工具，基于 OpenAI 兼容 API。模型自动从现有 llm-pi-ai 设置中发现。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xiaokaizhou/dsh-llm-multimodaldsh-llm-oauthOut-of-tree DSH plugin for OAuth login with subscription LLM accounts, without API keys.
dsh-llm-ollama-nativeDSH LLM adapter that speaks Ollama's native /api/chat instead of the OpenAI-compatible endpoint, so think:false/low/medium/high actually reaches the model.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JoblessJoe/dsh-llm-ollama-nativedsh-llm-openai-codexUse a ChatGPT Plus, Pro, Business, or Enterprise subscription with Codex access as a DeepSeek Harness model provider.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:auggie246/dsh-llm-openai-codexdsh-llm-openai-compatibleUniversal OpenAI-compatible LLM provider plugin for DeepSeek Harness (万能插头) — point any local or remote OpenAI-compatible endpoint at the harness and chat with it
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:cqnxnzg/dsh-llm-openai-compatibledsh-llm-opencode-goDeepSeek Harness LLM adapter for OpenCode Go (opencode.ai/zen): /models discovery with cache, three wire protocols (OpenAI Responses, OpenAI-compatible Chat Completions, Anthropic Messages), tool calling, reasoning mapping, streaming, and the required x-opencode-session affinity header.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:a2580vb/dsh-llm-opencode-godsh-llm-opencode-goOpenCode Go models as a DeepSeek Harness provider, with session-affinity headers, a live model catalog, and a Web settings card
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:scavanger2221/dsh-llm-opencode-godsh-llm-opencode-zenOpenCode Zen 免费模型 LLM 适配器（Bearer public 零配置，27 个免费模型；可选 OPENCODE_API_KEY 解锁付费模型）
dsh-llm-pi-ai-headersDeepSeek Harness LLM User-Agent/header injector with key pool round-robin: keeps the official llm-pi-ai adapter, re-injects user-agent, and supports multi-key rotation per provider. | DeepSeek Harness LLM 请求头注入器 + Key 轮询：保留官方适配器，补回 User-Agent，支持按提供商多 Key Round-Robin 轮询。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xsluck/dsh-llm-pi-ai-headersdsh-llm-pi-ai-liveReal-time model-list refresh for DSH llm-pi-ai routes: queries each provider endpoint, merges the installed pi-ai catalog metadata onto the live ids, and appends new models through the official settings seam.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WeatherWind/dsh-llm-pi-ai-livedsh-llm-pi-ai-raw-keydsh-llm-pi-ai replacement that preserves arbitrary API keys for custom provider routes and supports the 0.1.1 adapter contract.
dsh-llm-probe把任意 OpenAI 兼容端点当测量装置跑实验：直连通话 · 只回读数（正文落盘不进上下文）· 标定先于测量 · 端点不可达即响亮失败
dsh-llm-providers-uiShared LLM Providers settings shell, card order, and picker sort for DeepSeek Harness plugins
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NOirBRight/dsh-llm-providers-uidsh-llm-proxy-routerRoute DSH's LLM requests per provider: configurable HTTP/HTTPS proxy for the providers that need one, direct connection for the rest.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LostAbaddon/dsh-llm-proxy-routerdsh-llm-qwenQwen (DashScope compatible-mode) LLM adapter plugin for DeepSeek Harness, with a settings-page API-key editor
dsh-llm-qwen-localDeepSeek Harness LLM adapter plugin for locally deployed Qwen models behind a vLLM OpenAI-compatible endpoint: per-model multimodal switch, fully configurable reasoning efforts, and a web settings page (client plugin) for editing the deployment from the frontend
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:starefinger/dsh-llm-qwen-localdsh-llm-repetition-guardDegenerate-output repetition guard for the DeepSeek Harness
dsh-llm-resilienceA configuration card in the DSH Web UI for tuning LLM request retry policy and stream idle timeout (retry mode, max retries, retryable codes, backoff, jitter, timeout).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:masknull/dsh-llm-resiliencedsh-llm-retry-allDSH host plugin: retries EVERY model-gateway error (429, quota, auth, network, ...) with a linear 5s-step backoff capped at 5 minutes, covering agent-loop requests and direct ctx.llm.stream calls (compaction, session title). Max retries configurable in Settings; 0 disables this plugin only.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mimajiushi/dsh-plugins#1aa8b9d851070af475ca10703d84c000562ef8d7&path:plugins/dsh-llm-retry-alldsh-llm-retry-infiniteDSH plugin: infinite exponential retries on LLM requests, capped at 10 minutes per wait
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PineappleTwilight/dsh-llm-retry-infinitedsh-llm-retry-settingsDSH plugin: API retry settings page - view and edit each LLM provider's request retry policy (mode, maxRetries) over the settings wire
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yiklek/dsh-llm-retry-settingsUse a feature keyword or category, then sort by recent updates or GitHub stars.
Read the description, AI analysis and original README to understand what a plugin does.
Review compatibility, dependency ranges and instructions, then copy the available install command.
DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.