Discover The Best DSH plugins
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Explore community plugins for other tasks and check their documentation for specific capabilities.
dsh-live-talkAnimate any photo into a responsive virtual girl. She talks, turns, smiles, and moves naturally in sync with your conversation. Low-lag, high-detail.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:eddiehuang227-source/live-talkdsh-livebench-panelDSH web plugin: a LiveBench tab in the Trajectory view (right of 对话/轨迹). Run LiveBench evaluations against every model configured in the DeepSeek Harness — pick provider/model, category, task, release and question range from dropdowns, watch progress, and read scores in place. Ships a Baseline probe set built from the questions a reference model cannot solve.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Vithrive/dsh-livebench-paneldsh-liver-func肝功能解读
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-liver-funcdsh-livermorium鉝元素
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-livermoriumdsh-llama-model-managerDSH plugin: manages the Windows llama-server.exe model lifecycle (start / stop / switch / recover) behind a stable OpenAI-compatible gateway, with graceful Ctrl+C shutdown that actually frees VRAM.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DoctorxPriestess/dsh-llama-model-managerdsh-llamacppDeepSeek Harness LLM adapter plugin for a local llama.cpp server over its OpenAI-compatible /v1/chat/completions API.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jwilson411/dsh-llamacppdsh-llamacpp-connect把本地 llama.cpp 管理器里的模型接入 DeepSeek Harness — bring local llama.cpp manager models into DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ClearLeaf13/dsh-llamacpp-connectdsh-llm-antigravityAntigravity route for DeepSeek Harness: local Antigravity CLI (agy) as an LLM provider
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhangzhangco/dsh-llm-antigravitydsh-llm-approve-for-meSessionless LLM sandbox approval reviewer for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:alaxrpg/dsh-llm-approve-for-medsh-llm-assistantResident DeepSeek assistant seat for DeepSeek Harness: chat, reminders, and on-demand read-only task reference
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NOirBRight/dsh-llm-assistantdsh-llm-autoDSH 宿主插件:注册一个 `auto` 模型路由,内部按配置的有序链依次尝试多条「provider + model」;某条在**产出任何内容之前**失败时,先按官方同款策略在该路由内原地重试(瞬时错误白名单,默认 5 次),重试耗尽才静默切下一条,对上层表现为一个普通模型;并可用 compactWindow 把自动压缩点钉在指定 token 数附近。0.4.0 起自带浏览器半侧:插件页该 bundle 的卡片上直接渲染配置表单,可直接改 compactWindow(官方 SettingsForm 原语,保存才写入)。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:liuyun847/dsh-llm-autodsh-llm-auto-routeProvider discovery, matching, health checks, and pre-output failover for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qinyu765/dsh-llm-auto-routedsh-llm-bounded-retryBounded all-error request retry plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:911218sky/dsh-llm-bounded-retrydsh-llm-captureInspect raw LLM requests and responses in DeepSeek Harness Web
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chengzhicao/llm-capturedsh-llm-chatgpt-oauthChatGPT Plus/Pro OAuth model provider for DeepSeek Harness, backed by pi-ai's openai-codex route.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhangxiubo/dsh-llm-chatgpt-oauthdsh-llm-chatgpt-webChatGPT Web (owned Chromium driving Temporary Chat) adapter for the DeepSeek Harness LLM seam
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:twilightt1/dsh-llm-chatgpt-webdsh-llm-codebuddy-powerA full-featured CodeBuddy (WorkBuddy) provider plugin.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pgnqukezrdxmhjso/dsh-llm-codebuddy-powerdsh-llm-codexCodex route for DeepSeek Harness: local Codex CLI first, OpenAI-compatible API fallback
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhangzhangco/dsh-llm-codexdsh-llm-configMulti-provider LLM configuration for the DeepSeek Harness LLM seam: declare any number of providers, each with its own endpoint, credential and per-model parameters, across the OpenAI Chat, OpenAI Responses, Anthropic Messages and Google Gemini wire formats.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:EmotionG/dsh-llm-configdsh-llm-configMulti-provider LLM configuration for the DeepSeek Harness LLM seam: declare any number of providers, each with its own endpoint, credential and per-model parameters, across the OpenAI Chat, OpenAI Responses, Anthropic Messages and Google Gemini wire formats.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:EmotionG/model-importdsh-llm-databricksCommunity Databricks AI Gateway LLM plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhuchengde0214-ctrl/dsh-llm-databricksdsh-llm-fidelityHigh-fidelity model calls for DeepSeek Harness: auto-adapts rejected optional parameters and keeps token usage accounting faithful
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:philipho01/dsh-llm-fidelitydsh-llm-friendliFriendliAI serverless LLM adapter for DeepSeek Harness — OpenAI-compatible chat completions with dynamic model discovery and reasoning support
dsh-llm-gatePer-provider concurrency gate for DeepSeek Harness LLM requests
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:d3vmeh/dsh-llm-gateUse 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.
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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.