DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件，打造 DeepSeek Harness 生态的一站式目录。
461 个项目，匹配「text」
exoticknight
Labnana image generation for DeepSeek Harness: text-to-image / image-to-image / precise editing — chat image cards, credentials-domain API key, settingsScope UI
felix-lj-ct
Scopes MCP tool injection per workspace directory in the DeepSeek Harness: a session opened in a project sees only the MCP servers that project needs — removed from the model's tool list and refused at call time. Plus per-session switches in the composer to narrow or widen the session you are in, temporarily.
ffyuuu
LongCat (LongCat-2.0) provider for DeepSeek Harness — 1M context, thinking mode, tool calling
forrestahha
Voice-to-text input plugin for the DeepSeek Harness Web UI
helibeiqi
Zero-dependency MCP stdio server template + ready-to-use A-share data tools for DeepSeek Harness (dsh). No API key, all env-var paths, standard NDJSON protocol.
hjj345
DeepSeek Harness Web GUI 的 Codex 风格对话导航器：帮助用户快速浏览、定位和切换对话，提升多任务、多会话场景下的工作效率。 | Codex-style conversation navigator for the DeepSeek Harness Web GUI.
hyper-dsh-plugins
A lightweight DeepSeek Harness vision delegation tool for text-only routes, with native OpenAI Responses, Chat Completions, and Anthropic Messages adapters.
icanfinish11
Context window optimization for DeepSeek Harness agents. Sandboxes tool output in-process (only what you print enters the conversation), persists session memory in an FTS5 knowledge base, and enforces routing via a system-prompt routing section.
imkingjh999
DSH plugin: 深海摸鱼 —— context 越深潜得越深，答完摸鱼集镭射生物卡 | Deep-sea slacking holo cards
ishuowang
Async LLM context relay between DeepSeek Harness sessions and Agent Team Rooms
lhbsaa
DeepSeek Harness vision plugin: analyze_image (structured OCR evidence) + capture_image (USB camera visual loop). 摄像头视觉闭环 + 结构化证据，支持 Ollama / DeepSeek / Xiaomi 三后端。
lmst2
该仓库暂未提供项目说明。
menotbobbybrown
Universal Model Context Protocol (MCP) Bridge Plugin for DeepSeek Harness (dsh) — Everything is a Plugin
nanami-0713
DSH plugin: register TypeSafe Jev (System One decision model) as an agent tool — jev_decide returns calibrated probabilities (noul/choice/score) for routing/triage/guardrail judgments, no text generation. 把 TypeSafe Jev 决策模型注册为 DSH agent 工具
ne-ilyxa
Cursor-style draft chats for DeepSeek Harness (DSH): New Session reuses the empty draft — and only mints a fresh one when every draft has unsent text — so empty placeholders never stack, exactly like Cursor's (or Telegram's) chat list.
nicearrack
基于 DSH 的有道风格划词翻译：划选即现「译」按钮，harness 自带大模型，零 API key / Youdao-style word-selection translation for DSH: select text, click 「译」, powered by the harness's own LLM, no API keys
nlqh7
给 DeepSeek Harness 纯文本模型加视觉：采用codex风格聊天框拖图自动分流给用户配置的视觉模型转文字，v4 不切换模型即可识图。 Vision for text-only DSH models: routes chat-box images to a user-configured vision model and returns text descriptions, deepseek-v4-pro reads images without switching.
orchestral-media
TypeScript library for building multimedia-generation agents: text-to-image, video, speech and audio pipelines with capability-based model routing, automatic cross-model fallback, and BYOK direct provider calls (no gateway). 27 built-in patterns, provider-SDK-free core.
reimu-create
DSH plugin: text-only models (e.g. DeepSeek-V4) automatically see images via a vision model. Official surface-replace, cache-friendly, human transcript untouched. 纯文本模型自动识图桥
shaoqiuyuavailable
Scene-aware vision routing layer for DeepSeek Harness (dsh): decides which engine/backend an image should go to (chat/UI/table/code) before other vision plugins route it. Switch-gated, front-loaded, never touches other plugins' tools. 场景级识图路由层。
shiningsprk-arch
DeepSeek Harness (DSH) 上下文查看器 — 浏览思考链、shell 命令、工具调用与原始事件日志（Electron + React）
sliverp
DingTalk Stream text and image channel plugin for DeepSeek Harness
starfishwrx
Git-backed, reviewable long-term context for DeepSeek Harness.
the-thinker0
A local-first full-text memory search plugin for DeepSeek Harness, enabling fast cross-conversation search, message-level navigation, and intelligent retrieval of your AI coding history.