dsh-geo
★ 0dsh-geo生成式引擎优化(GEO)DeepSeek Harness plugin for SEO, GEO and AEO analysis of Markdown knowledge bases.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:winyh/dsh-geoDiscover The Best DSH plugins
1213results
Find plugins for conversation memory, knowledge retrieval and context management.
dsh-geo生成式引擎优化(GEO)DeepSeek Harness plugin for SEO, GEO and AEO analysis of Markdown knowledge bases.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:winyh/dsh-geodsh-geometry-knowledge几何论(共扼谱几何 CSG)知识库插件 for DeepSeek Harness:以 Markdown 文章为唯一真源,程序自动重建 BM25 索引、类型化主张依赖图与修复工作单并做一致性审计,附 869 条真理层与 SymPy 公式验证。开箱即用的离线知识库(31 个 geo_* 工具),零运行时依赖。Conjugate Spectral Geometry knowledge base plugin for DeepSeek Harness: offline BM25 retrieval, typed claim graph, consistency audit and SymPy formula verification.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sdoygb/dsh-geometry-knowledgedsh-global-memoryDSH 全局记忆插件:侧边栏「全局记忆」页,直接查看/编辑 ~/.dsh/AGENTS.md 与 ~/.dsh/memory/*.md。Host 半边注册 /api/dsh-memory 路由(回环限制),client 半边注入侧边栏入口与中心面板。热插拔挂载,不改 DSH 源码。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xujiping/dsh-plugins#1adc7e76acdbef227d539c496cca5adf7a53d43e&path:packages/dsh-memorydsh-goodmemoryAutomatic cross-session GoodMemory recall and writeback for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hjqcan/dsh-goodmemorydsh-governed-memoryGoverned long-term memory core and DSH technical-preview adapter contracts.
dsh-harmonyos-arktsHarmonyOS NEXT / ArkTS development skills for DeepSeek Harness — ArkTS/ArkUI coding knowledge and ArkTS code review.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:spike-faye-lei/dsh-harmonyos-arktsdsh-hermes-memoryHermes-style persistent memory for DeepSeek Harness (DSH) — a faithful port of the hermes-agent MEMORY.md / USER.md mechanism: bounded dual-bank memory, one `memory` tool (add/replace/remove/batch), frozen-snapshot injection, nudge reminders. Zero external dependencies, zero LLM cost.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:isheng-eqi/dsh-hermes-memorydsh-hindsightOfficial-grade DeepSeek Harness memory plugin backed by Hindsight (vectorize-io). Add /hindsight commands and model tools that recall, remember, inspect and forget through a Hindsight memory bank.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ryu6Zero/dsh-hindsightdsh-hindsight-memoryHindsight long-term memory for DeepSeek Harness: auto-recall context injection before each agent step (agent/pre-step) and auto-retain of each finished turn (session/event).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jackyytche/dsh-hindsight-memorydsh-honcho-memoryDSH plugin: honcho long-term memory tools (memory_store / memory_search) over a self-hosted Honcho v3 backend
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kingcharleslzy-ai/dsh-honcho-memorydsh-hot-memoryProject the Mnemon runtime memory files (USER.md / MEMORY.md) into every session's system prompt as one lazy section, independent of dsh-mnemon's lifecycle gate.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ln1m/dsh-hot-memorydsh-humanized-deepseek-maidGives the DeepSeek Harness agent a configurable humanized whale-girl maid persona (address, self-name, speaking mode), an immersive no-plugin-meta rule, and a lightweight layered memory with query-triggered recall.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:loonai321/dsh-humanized-deepseek-maiddsh-hypatiaHypatia skills for DeepSeek Harness: knowledge-graph query skill plus automatic conversation-memory bridge. Requires the `hypatia` CLI on PATH.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tkliuxing/dsh-hypatiadsh-hypercompactDeterministic, zero-LLM, byte-budget context compaction for DeepSeek Harness, with byte-exact recall of compacted history.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mrbeandev/dsh-hypercompactdsh-ihow-memoryInstall iHow Memory as a local-first shared memory plugin for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:iHow1/dsh-ihow-memorydsh-ima-copilotDSH IMA Copilot 插件:通过 ima_ask 深度问答腾讯 IMA 知识库,含 Web 配置界面
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:onclaw-dev/dsh-ima-copilotdsh-ima-kbTencent ima (ima.copilot) knowledge-base tools for DeepSeek Harness: list, cross-knowledge-base fan-out search, browse, URL import, file upload and notes, over the official ima OpenAPI.
dsh-industry-graph-mcp零依赖、本地优先的 A股 产业链 / 申万行业 / 概念板块 知识图谱 MCP server —— 查询个股所属行业、同业竞品、产业链上下游、概念成分与交叉选股。无需 API key、无网络依赖。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:helibeiqi/dsh-industry-graph-mcpdsh-infinite-contextDeepSeek Harness plugin: multi-tier memory management, semantic retrieval, structured memory, and model-context awareness for infinite context.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chocobo77/dsh-infinite-contextdsh-instruction-memoryUser-only instruction memory for DSH: long-term instructions maintained in the settings UI and auto-injected into every conversation — the model has no write access. 指令记忆:只由用户在设置页维护的长期指令,自动注入此后每轮对话;模型没有任何写入口。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HERO476/dsh-instruction-memorydsh-intelhub第一个 zvec 原生情报站:刷到的信息自动沉淀(采集/文件夹/网页/笔记),agent 语义+关键词混合检索带出处,零守护进程、零 API key、文档不出本机;支持 Obsidian 反哺与定时自动化
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:IKEASven69/dsh-intelhubdsh-jev-memoryTyped, auditable long-term memory for the DeepSeek Harness: a turn-end write hook, a judgement layer (Jev or a deterministic fallback), a local store, and per-session recall injection.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lrqiisrom/dsh-jev-memorydsh-k12-substrateK12 capability substrate for DeepSeek Harness: 143 objectively-decidable capability anchors and 6,091 list items extracted from China's MOE 2022 curriculum standards, with local-only learner profiles
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qiuyiwu1989-star/dsh-k12-substratedsh-keyword-contextDeepSeek Harness (DSH) plugin — inject context when user input or model output hits configured keywords, with toggleable/configurable rules and model-editable memory.
Use 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.