Discover The Best DSH plugins
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Find plugins for conversation memory, knowledge retrieval and context management.
stratagate-dshRecent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with you—no need to start over.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:diqierjia/StrataGate-AgentMemory@a9i5k4/dsh-auto-memoryProactive associative memory for DSH: zero-prompt recall injected before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Aik358/dsh-auto-memorydsh-evolve-in-gitGit-backed long-term memory and evolution plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Kytolly/dsh-evolve-in-git@mstar-harness/dshMorning Star harness dsh (DeepSeek Harness) cordis function plugin — in-process engine gates (status/dispatch/lease) with hard refusal channels.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:btspoony/mstar-harness#cd811d651df342990fb6d6f06ced424be3ee4b47&path:packages/dsh@oh-my-dsh/approval-vocabularyApproval memory — once/always/reject decisions remembered per tool (GAP-1359)
dsh-git-memoryA local Git-backed long-term memory bundle for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:seriousz158/dsh-memorydsh-sidechatMemory-only read-only side chats for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/sidechatdsh-krouterDSH-KRouter — Agent knowledge OS. Self-evolution. Timer on by default; your vault-page API key or logged-in CLI is the key. Cursor, Codex, Claude Code, DeepSeek Harness. No vector store.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:398894496-arch/DSH-KRouterdsh-plugin-guideThe dsh-plugin-guide knowledge base plus the dsh-plugin-dev CLI toolchain: official docs, Cordis primer, community deep-dives, and battle-tested pitfalls registered as an on-demand agent skill, with a scaffolder, static checker, and pack verifier for building DSH plugins.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-plugin-guidedsh-better-reasoning-effortThird-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models page card.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HaoyueQin/dsh-better-reasoning-effortdsh-directorxDirectorX：第一个以 DeepSeek Harness 为内核的 Video Agent Harness——面向端到端 AI 视频生产的开源 dsh-plugin，覆盖视频生成、分镜画布、智能剪辑、FFmpeg 质检与交付。The first DeepSeek Harness-native video agent harness for AI video production.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LaplaceYoung/dsh-directorxdsh-vibe-mathMulti-agent mathematical problem-solving & verification frameworks for DeepSeek Harness — THREE agent presets in one install: vibe-math-v2 (probability-driven: qs.json + Propos knowledge base + explorer→solver→review/debate verdict), vibe-math-v3 (THIRD-generation, recommended: paper-style Markdown knowledge base with Problems/Progress/Propos/Methods/Verified + planner-agent scheduling that decides the next N actions + universal theory/method invention library + agents write their own Markdown directly via a per-file write lock), and vibe-math-v4 (FOURTH-generation: persistent self-organizing resident subagents that message & meet to decide all tasks, verify only by unanimous consensus, /compact at a context threshold, and stop only when all agree the problem is solved). Installing this bundle auto-installs all three presets (v1 was removed at v2.0.0).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ChongCyrus/Vibe-Mathematicsamadeus-for-dshSteins;Gate 0 Amadeus (Makise Kurisu) 助手：Live2D 翻盖手机 + 日语语音 + 长期记忆，DeepSeek Harness 插件
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yyxcnasd/amadeus-for-dshsupergraphSupergraph workflow, skills, and MCP tools for DeepSeek Harness (DSH)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:datit309/supergraphoh-my-knowledgeOMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
dsh-claude-moveFour-source migration wizard: copy Claude Code, Codex, OpenCode and Hermes sessions, memories, skills, instructions and slash commands into DeepSeek Harness as resumable sessions — copy-only, approval-gated, idempotent
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-claude-move@dsh-external/dsh-webuiwebui：视图图块/消息导航 + 工具调用聚合 + Markdown 渲染 + 模型推理等级同步 + AnySearch 网页搜索（合并 dsh-tool-summary / dsh-better-markdown / dsh-web-search-anysearch）
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Kr-ATG/dsh-webui@evoresearch/dsh-pluginEvoResearch 的 deepseek-harness 插件实现：科研项目工作区、科研记忆、多智能体团队、AutoSkills、定时任务、多通道、WebUI 扩展与 i18n（TypeScript / Node.js，不使用 Python 与 deepagents）
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Karbo123/DSH-EvoResearch#7453572a3a03be08dfb681e609bce8f4faca0698&path:packages/evoresearch-plugindsh-hdc-bridgeDSH-native HarmonyOS dev assistant: hdc device debugging, an input-row development panel, official-first versioned API docs, DevEco compile assistance, and standalone Command Line Tools support.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:1na-ko/dsh-hdc-bridgedsh-layered-memoryL0~L3 分层蒸馏记忆插件 for DeepSeek Harness：自动捕获对话（L0）、抽取原子记忆（L1）、整合场景块（L2）、蒸馏核心画像/团队方法论（L3），并在模型步骤前自动召回注入。移植自 MemoryCore (TencentDB Agent Memory) 的管线设计。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JunNanLYS/dsh-layered-memorydsh-memory祖宗记忆库记忆插件: 自研 SQLite 引擎 + MCP stdio 桥 + 自动记忆钩子 + 记忆库管理卡片 UI。零外部 Python 依赖, 可插拔。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LiuJunheng/DeepSeekHarnessGreen#a8187a37695b8648ffc6a841520f37245bc53539&path:plugins/dsh-memory@dsh-trading/client-ui-knowledgeKnowledge-base stage view plugin for dsh-trading (issue #34 / P5): registers the 中栏「知识库」tab via the tradingStageViews service — Obsidian-style force-directed knowledge graph with search/tag/author/credibility filters and a card detail drawer. Graph logic comes from the @dsh-trading/knowledge pure library; bridge access goes through the shell's tradingBridge service (ctx.inject only, no cross-package module imports).
@dsh-trading/knowledgeKnowledge base data plane for dsh-trading: KnowledgeCard data model, validation, graph builder, atomic file store, and knowledge_ingest / knowledge_search agent tools.
@zoria-lind/dsh-token-optimizer分层 Token 优化管道 v2:输出阶梯 / 结果缓存 / 文件 diff / 工具裁剪 + MCP 懒加载 / 压缩调度 / 缓存命中率,基于 DSH 真实插件 API
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Zoria-Lind/dsh-token-optimizerUse 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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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.