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-llama-responsesDeepSeek Harness plugin: run subagents on a local llama.cpp model via the OpenAI Responses (/v1/responses) protocol, with a subagent delegation skill
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:SnowRikka/dsh-llama-responsesdsh-llm-autorouterAutoRouter (model routing gateway / relay) LLM adapter for the DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:autorouter0-ai/dsh-llm-autorouterdsh-llm-balanceLLM API balances below the chat input, driven by the providers configured in dsh; click a balance to open its recharge page.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JonyChan1350/dsh-llm-balancedsh-llm-codex-auth-native-compact-imageCodex OAuth provider with native compaction and image input support for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:thaning0/dsh-llm-codex-auth-native-compact-imagedsh-llm-codex-oauthUse Pi's OpenAI Codex OAuth subscription in DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:eons2long/dsh-llm-codex-oauthdsh-llm-cursorUnofficial Cursor subscription login and chat for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NOirBRight/dsh-llm-cursordsh-llm-fallbacksAutomatic provider/model fallback chains for DeepSeek Harness agents when LLM requests keep failing (retry exhausted, auth, quota, rate limit)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:btspoony/dsh-llm-fallbacksdsh-llm-governorMulti-model governance, routing, fallback, quota, and usage for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:young-tim/dsh-llm-governordsh-llm-grokxAI Grok subscription login and chat for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NOirBRight/dsh-llm-grokdsh-llm-injection-filterDSH LLM response-stream injection/pollution filter: hard-block rare Unicode scripts (Track A) and score-based disposal of control chars / protocol markers / script mixing / spam keywords (Track B) on the llm/stream waterfall.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:XiaoYuOvO/dsh-llm-injection-filterdsh-llm-nousNous Portal OpenAI-compatible LLM adapter bundle for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:patrickluvsoj/dsh-llm-nousdsh-llm-oauthDeepSeek Harness plugin: OAuth / subscription-plan LLM providers (Grok, GitHub Copilot, OpenAI Codex, Anthropic, OpenRouter)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ziyou979/dsh-llm-oauthdsh-llm-openai-completionsOpenAI-completions-compatible adapter for custom gateways (vLLM / LM Studio / self-hosted proxies): always role:"system", enable_thinking / chat_template_kwargs / reasoning_effort driven by the llm-pi-ai model config, and a </think> split on the receive side — no pi-ai behavior guessing.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:drscrewdriver/dsh-llm-openai-completionsdsh-llm-pi-ai-oauthOpenAI Codex OAuth replacement adapter for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jinbaozi/deepseek-harness-plugins#c9c3b5053f88e260a0667d94ae22ff0dbd180740&path:packages/dsh-llm-pi-ai-oauthdsh-llm-quota-retryKeep a DeepSeek Harness agent step alive through an exhausted account quota: after the base provider retry policy gives up on a QUOTA failure, retry the same request once per hour without an attempt limit, and publish the entering, leaving, and current state of that long-term retry to other plugins.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:windwhiterain/dsh-llm-quota-retrydsh-llm-quotesLLM provider API price quotes in the dsh web sidebar
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:v587d/dsh-LLM-quotesdsh-llm-rate-limitLLM API rate limiting, concurrency control, queuing, and adaptive cooldown for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Asong6824/dsh-llm-rate-limitdsh-llm-subscriptionNative DeepSeek Harness LLM adapter for Claude Code / Antigravity CLI subscriptions, plus local Ollama — Claude, Gemini and a free local model in the model picker, no API key
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DavidRm1911/dsh-llm-subscriptiondsh-llm-usage-statsDSH web plugin: per-model LLM token usage dashboard in Settings (input/output/cache tokens, cache hit rate; day/week/month/custom ranges; model filter; clearable daily JSON logs under ~/.dsh/llm-usage-stats).
dsh-llm-wikiA Markdown-first, evidence-grounded LLM wiki plugin for DeepSeek Harness
dsh-llm-workbuddyWorkBuddy (via the local workbuddy2api proxy) LLM provider adapter for DeepSeek Harness, with a Web login-status widget
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zdk119746/dsh-llm-workbuddydsh-llmwikiLocal Markdown wiki as long-term memory for DeepSeek Harness — ported from llmwiki
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chancelu/dsh-llmwikidsh-local-file-search本机文件搜索（DSH 插件）：在对话框 @ 列表里增加「搜索本机文件」入口，全机一次性搜索，结果不进文件栏/工作区索引
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ln1m/dsh-local-file-searchdsh-local-memoryDSH local cross-session memory plugin: capture turn summaries, inject recent days, and search all historical memory with pure JS keyword matching.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:caopu16/dsh-local-memoryUse 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.