dsh-wsl-vecmemDeepSeek Harness WSL plugin: tiny local vector memory via Ollama embeddings + JSON store.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:173787247/dsh-wsl-vecmemDiscover The Best DSH plugins
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Find plugins for conversation memory, knowledge retrieval and context management.
dsh-wsl-vecmemDeepSeek Harness WSL plugin: tiny local vector memory via Ollama embeddings + JSON store.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:173787247/dsh-wsl-vecmemdsh-wsl-wslconfigParse Windows .wslconfig and advise mirrored/NAT + dsh :3081 relay.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:173787247/dsh-wsl-wslconfigdshgirl-starterAn integrated starter plugin for newly installed DeepSeek Harness (DSH). Combines whale-girl persona injection, desktop pet, balance widget, notes, reminders, shared long-term memory, and low-token memory tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:FlyingFreeOwl/dshgirl-starterevo-memoryProvider-neutral evolving memory service and Cordis plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:TIZ36/evo-memoryflowctx-dshContext compression for DeepSeek Harness: engineer-handoff-note summarization backed by dsh-compaction-basic.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ayou-Claw/flowctx-dshimemoryDSH 自进化长期记忆插件:回合后 LLM 自动提取记忆、每步召回注入、语义重排检索、冲突合并、learned-* 技能沉淀,附记忆库管理面板。记忆文件默认存于 harness 根目录($DSH_HOME,未设时 ~/.dsh)下的 imemory/ 子目录,可用 config.memDir 覆盖。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bass1125/imemorylearn-skillDeepSeek Harness bundle that registers the learn skill pack on ctx.skills.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gtbwpkwjnb-alt/learn-skillllm-wiki-sidebarLLM Wiki workbench for dsh-better-sidebar: browse and lint a Karpathy-style interlinked markdown wiki, open pages with the native markdown viewer, clickable [[wikilinks]] and provenance/relative .md links, and backlinks. Ships the llm-wiki agent skill.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ApeInCodeMountain/llm-wiki-sidebarmemobranchGit-native, auditable long-term memory for AI agents
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sens-io/memobranchmemoplus4dshUnified entity-time fused memory plugin for DeepSeek Harness (dsh). Replaces scattered per-day markdown notes with one coherent memory graph.
memoripoA living memory workbench for DeepSeek Harness — watch Hindsight memory grow, read and use it, in a persistent sidebar.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Dayi-Z/memoripomg-dsh-desktopDeepSeek Harness desktop shell + feature plugin integration. Launches dsh's Web UI in a native WebView2 window with theme sync and window-state memory; injects the plugin config page only when started by this project (desktop shortcut or `mg-dsh` command).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MarecGents/marec-dsh-desktoponly-memoryDeepSeek Harness 记忆插件 - 零外部依赖的 LLM 长期记忆系统
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wilburli/onlyMemory-pluginplugin-evolveHost-agnostic controller for staging, validating, scoring, and solidifying evolved tool plugins.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:shinjiyu/deepseek-harness-evolverscheduleDSH Desktop 桌面小组件:每日时间安排(周期重复 + 起止时间 + 进行中高亮 + 倒计时便签)、目标设置(进度百分比 + 自由流程图工作台)、日期规划(跨天任务月历 + 流程图截止日联动)三张可拖动、可缩放、自动记忆位置的毛玻璃悬浮卡片,带今日面板聚合视图。支持数据导出/导入、自动快照、可选自动备份文件与删除撤销。纯前端 vanilla DOM 实现,localStorage 持久化,零依赖。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Nicercz007-cloud/schedulesummarize-skillDeepSeek Harness bundle that registers the session-summarize skill pack on ctx.skills.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gtbwpkwjnb-alt/summarize-skilltask-passportOpen task handoff protocol and local store for durable state across AI harnesses.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dongsheng123132/task-passporttdai-memory-dsh-pluginNative DeepSeek Harness plugin for TencentDB Agent Memory recall, capture, and read-only search tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Vocllum/tdai-memory-dsh-pluginviya-memory本地长期记忆 for DeepSeek Harness:卡片以 Markdown 存在你自己的 Obsidian vault 里,提供 save/search/read/update/link/forget/stats 七个工具 · Local long-term memory as plain Markdown cards in your own Obsidian vault.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MengXinSu/dsh-viya-memorywan-tavern玩 · 酒馆模式完整插件:把 deepseek-harness 的酒馆模式一键打包为可分发、可安装的独立 DSH 插件。支持记忆系统、状态栏、立绘情绪、自定义变量表等功能。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aipaigyx/wan-tavernwechat-clawbotConnect DeepSeek Harness to WeChat via the official WeChat ClawBot (Tencent iLink) bridge — a DSH plugin bundle.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Alphainfix/wechat-clawbot@a9i5k4/dsh-auto-memoryDSH 自动记忆插件:三层记忆(用户级/项目笔记/每日日志)自动注入与检索、每日反思、可视化面板与设置页,支持继承其他 AI 工具的记忆。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hezi2020/dsh-plugin-wiki#0f911a1b7aef331b19607a60c884be50e910c0ab&path:plugins/Aik358-dsh-auto-memory@aalvsz/dsh-hermes-bridgeNative adaptive intelligence layer for DeepSeek Harness: memory, skills, /learn, background review, and curator — no Hermes or Python dependency.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aalvsz/dsh-hermes-bridge@abc12524/dsh-openvikingOpenViking memory integration: Web Settings plugin card + automatic memory-context injection
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:abc12524/dsh-openvikingUse 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.