dsh-plugin-agents-memoryEdit DeepSeek Harness global AGENTS.md instructions and memory directly in Web settings.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Cocowwy/dsh-plugin-agents-memoryDiscover The Best DSH plugins
1213results
Find plugins for conversation memory, knowledge retrieval and context management.
dsh-plugin-agents-memoryEdit DeepSeek Harness global AGENTS.md instructions and memory directly in Web settings.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Cocowwy/dsh-plugin-agents-memorydsh-plugin-atlasKnowledge-territory map for DeepSeek Harness: session conversations grow into a living map of concept 'cities' clustered into discipline 'continents', with typed routes and user-built 'bridges' (small containers holding your own notes and cross-discipline cards). AI proposes adjacencies; you light the connection. Data flows over an in-memory Connection RPC channel and a local markdown vault, never the session log.
dsh-plugin-auditorDSH 插件审核器:在新插件加入 profile 前扫描组合兼容性——重复工具注册、entry id 冲突、peer 版本不匹配、记忆插件唯一性、渠道插件凭据,输出风险报告,预防启动崩溃。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HYY-King/dsh-plugin-auditordsh-plugin-context-managerDeepSeek Harness context manager: auto-records every turn, injects priority-sorted memory and pinned cross-session notes into each model request, and folds real conversation history to save tokens. NOTE: manual multi-step install — copy the three package folders into profiles/node_modules and add the provided cordis.patch.yml rows, then restart DSH; not a standard one-command install.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:luxiwusuobuneng/dsh-plugin-context-managerdsh-plugin-crosslensCross-disciplinary association popup for DeepSeek Harness: pick the disciplines you care about, then draw a card — the LLM offers one concrete structural link between another field and what you're currently working on. A tool for thought (a hook, never a finished analysis), surfaced faint and ignorable over an in-memory Connection RPC channel, never the session log.
dsh-plugin-focusFocus board for DeepSeek Harness agents: durable, model-maintained notes in the session workspace that pin the objective, constraints, and decisions across compaction and sessions — with structured entry tags (kind/status), a grouped summary view, automatic context injection, an archive on clear, and an optional read-only web panel
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:863683348/dsh-plugin-focusdsh-plugin-grasp-probeVerification-gap probe for DeepSeek Harness: a backend plugin that watches each user turn, judges steer/ride/neutral with a cheap LLM, and accumulates how far the AI's autonomous progress has outrun what the user has actually verified — surfacing a faint, ignorable prompt (over an in-memory Connection RPC channel, never the session log) when they've drifted out of grasp.
dsh-plugin-jinji把「记忆」带进 DeepSeek Harness:极简文本记忆系统,双轨记忆(流水日志 + 人物/产品实体画像),大模型为核心驱动。无需安装其他软件,无需编译,无第三方依赖。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:quan2005/dsh-plugin-jinjidsh-plugin-jiyibi记一笔 — meaning-marking popup for DeepSeek Harness: like e-book marginalia, jot in your own words what a moment meant to you. Each mark snapshots the moment (immune to context compaction) into a searchable personal ledger that outlives any session. The AI keeps the log; you keep what mattered. A tool for thought, never written for you, over an in-memory Connection RPC channel + a plugin-owned durable file — never the session log.
dsh-plugin-memorySession distillation memory plugin for DeepSeek Harness: distills completed turns into durable knowledge entries surfaced as memory-<slug> skills
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:16480000/dsh-plugin-memorydsh-plugin-meta-memoryStructured long-term memory system for DeepSeek Harness -- unit-based brief/full pairs with auto-injection
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:YYTbit/dsh-plugin-meta-memorydsh-plugin-pace-hub节奏台 — a floating overlay hub for the pace-popups series. A draggable, position-persisted bar mounted on the app-global shell.overlay slot; v1a manages which pace popups (grasp / crosslens / jiyibi) are shown via a shared localStorage flag the popups honor live. Later versions host richer panels (记一笔 ledger browsing + read-only re-read). Zero-build hand-written client; no backend state in v1a.
dsh-plugin-pace-skinShared visual skin for the dsh-pace-popups suite: a no-UI plugin that injects one set of design tokens (--pp-*) and utility classes (.pp-*) into the page. Editorial 'lieflat' texture — hairline strokes, generous whitespace, ledger rails, flat surfaces, brightness-carries-hierarchy — while keeping the suite's color (discipline hues + a single gold accent). Load it once; every other popup consumes the same tokens.
dsh-plugin-ragLocal knowledge base RAG for DeepSeek Harness -- index project files and search for relevant context
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:YYTbit/dsh-plugin-ragdsh-plugin-semantic-memorySemantic long-term memory for DeepSeek Harness: embedding-based retrieval over a persistent cross-session memory store, with model-facing tools, proactive per-question recall, automatic conversation summarization, and auto-selected embedding provider (apiKey present → API, otherwise local).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chenkezhen480/dsh-semantic-memorydsh-plugin-sirchmunkDSH-native Sirchmunk settings plugin for graph, cluster, monitoring, history, and privacy workflows.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Fnckerpoi/dsh-plugin-sirchmunkdsh-plugin-sysmonSystem resource monitor for the DeepSeek Harness bottom status bar: CPU / memory / disk / uptime, updated live, click to refresh.
dsh-plugin-team-hubLAN project memory synchronization for DSH Desktop
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Hanchenk/dsh-team-coordinate#d29d4f46805c353bd705c1ae58ad4647e2d845fb&path:packages/dsh-plugin-team-hubdsh-plugin-translationTranslation toolkit for DeepSeek Harness agents: segmentation, term extraction, durable glossary and tone memory, cross-segment consistency checks, source-target QA, heuristic quality scoring, tone guides, and a durable translation memory
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:863683348/dsh-plugin-translationdsh-pmDSH 插件:春笋(ChunSun)驱动的 AI 原生项目交付 —— 需求/Run/Step/场景/用例/工作记忆 + 验收闭环(pm = project management)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mqhe2007/dsh-pmdsh-ppt-expertDSH extension bundle: presentation-deck expert — persona + LibreOffice Impress MCP (9 tools) + matplotlib chart kernel + live browser preview. Zero npm dependencies.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:TANGZHUO12/ppt-expertdsh-prime-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:drscrewdriver/dsh-prime-memorydsh-project-brainDSH 持久化项目大脑:理解代码架构、记住项目历史、跨 Session 保持上下文
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yj-liuzepeng/dsh-project-braindsh-project-contextDeepSeek Harness plugins for project-level persistent context: memory consolidation (MEMORY.md + CONTEXT.md), low-frequency autolearn for project skills, session archives with a mechanical index, and automatic handoff.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:P02-1010751281/dsh-project-contextUse 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.