Discover The Best DSH plugins

Memory and knowledge · DeepSeek Harness plugins — Page 19

1202results

Find plugins for conversation memory, knowledge retrieval and context management.

@dsh-memory/dsh-adapter

DeepSeek Harness adapter for transparent memory windows, associative retrieval, and extractive compaction.

Memory and knowledge
@elinpf/dsh-ops-knowledge

Troubleshooting knowledge base for ops mode — distilled postmortem cases stored in the access hub, searched before diagnosing and recorded after resolving.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Elinpf/dsh-ops-plugins#64b1d76649bf24155173c74254d0fb61d12815d5&path:packages/ops-knowledge
@frog755/dsh-hybrid-memory

Hybrid memory plugin for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md, read on demand, zero context cost) + L2 searchable knowledge base (one-fact-per-file, SQLite FTS5) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and approved Agent Hub documents. No automatic injection. Data lives on D drive, never C.

Memory and knowledge · Agent collaboration · Financial data · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Frog755/dsh-hybrid-memory
@goodddgrades/dsh-behuman

Durable cross-session memory and self-evolving skills for the DeepSeek Harness

Memory and knowledge · Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:goodddGrades/dsh-behuman
@guosheng_047/dsh-erp

Adapt ERP: learn your ERP through the browser and build private local knowledge in DeepSeek Harness

Memory and knowledge · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GuoMonth/dsh-erp
@kai232/dsh-rag

Local knowledge bases with explicit, source-backed retrieval for DeepSeek Harness Web.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:imkelt/DSH-RAG
@kenz1117/dsh-engram

Cross-session long-term memory for DeepSeek Harness: dual-scope SQLite memory graph, hybrid retrieval, provenance audit, and a knowledge flywheel.

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kenz1117/dsh-engram
@lamplitisles/kepos-hindsight

A small DSH companion-memory adapter for Hindsight

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LamplitIsles/kepos-hindsight
@linxin666/dsh-client-ui-la-feng

拉风 La Feng — DSH 多功能 UI 插件:皮肤/动态壁纸/背景音乐/声浪/人设/表情包/截图看图/持久记忆。

Memory and knowledge · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JimingYang25/Lafeng-UI-A-snazzy-personalized-custom-UI-plugin-for-DeepSeek-Harness-Cordis
@lovedolove/veyra

Veyra — the Engineering Brain for DeepSeek Harness. Persistent, evidence-aware, project-isolated engineering memory that observes, remembers, and recalls across DSH sessions.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LoveDoLove/Veyra
@marquez807/dsh-experience-memory

跨会话长期经验记忆 for DeepSeek Harness — 证据定级 fail-closed:只有用户原话、工具实测或工作区文件引证过的经验才配自动注入,无从核实的只留候选、永不注入;工作区/领域双作用域,需两个工作区各自独立印证才升到领域级;每轮按话题门控注入相关经验,被检索到或被成功复用都加分,所以常用的留下、没人碰的自然退役;退役可逆,只有 purge 才真删;动手前提示要求记录自带 recall_for 锚点(path: / tool: / command:),没声明就不打断工具调用;维护在每轮结束时跑,不占检索热路径,还会标记出处文件已不存在的记录。纯 SQLite + FTS5,零构建依赖。· Cross-session experience memory: graded evidence, query-gated injection, just-in-time delivery keyed on declared anchors, reversible retirement.

Memory and knowledge · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Marquez807/dsh-experience-memory
@mistymoon/dsh-mmem

Owner-governed long-term memory bundle for DeepSeek Harness

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mianyoubiaoqing/dsh-Mmem#795e5cd52a11bd2d23dc899213fe481470203892&path:packages/bundle
@nanmicoder/dsh-memory

Long-term memory system for DeepSeek Harness: two-phase extraction/consolidation pipeline over session logs, with summary injection and memory tools

Memory and knowledge · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yan5236/dsh-memory
@shenA2024/whale-persona

Persona engine for AI coding harnesses (DeepSeek Harness; the ZCode adapter is retired as of 2026-09-19 and kept for history only): self-name per model, self-image (appearance) and reply tone per model (both opt-in), user address, stance, character, per-item work contracts, thinking-chain language, a long-term memory inbox where AI entries only take effect after an explicit human confirm line (enforced in code), and a shareable persona-preset library that imports SillyTavern character cards (v1/v2 JSON; unmappable fields are reported, never faked). One shared config.json, zero runtime dependencies, never touches the network.

Memory and knowledge · Agent collaboration · Vision tools · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:shenA2024/whale-persona
@sidleo3/dsh-wiki

DSH plugin for the llm-wiki knowledge base: OKF v0.2-conformant markdown bundle with progressive disclosure. Registers 13 tools: wiki_list/search/get/create/update/validate/lint/ingest/deprecate/rules/help/dirs/use. Named multi-bundle directories with session/global switching. Self-contained (vendor-core embedded).

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sidleo/llm-wiki#29b93a9823f6c9a3d2a934e6300c442e3312afd8&path:packages/dsh
@stu-xie/dsh-message

把微信、飞书、QQ、企业微信和钉钉统一接入 DeepSeek Harness,并提供共享提示词、记忆与会话能力。

Memory and knowledge · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Stu-KatoMegumi/dsh-message
@tieveto666-code/dsh-memory-migration

Long-term memory for stock DeepSeek Harness: key/value store with question-time recall, plus optional migration from official ChatGPT, Claude, Gemini, and DeepSeek exports.

Memory and knowledge · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tieveto666-code/dsh-memory-migration
@urbanrook/agent-project-manager

项目 Agent 管理: a supervisor (主管) workspace + N dev-project workspaces, with logical isolation, task handoff, and a sidebar panel for DeepSeek-Harness agents.

Memory and knowledge · Agent collaboration · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Urbanrook/agent-project-manager
@vesna-strivozha-2026/dsh-client-ui-llm-wiki

LLM Wiki panel: right-column file tree, knowledge graph, markdown/PDF reader, and upload flow for the DeepSeek Harness wiki

Memory and knowledge · Interface extensions
@violet/dsh-chat-history

给 DSH 聊天输入框加上 CLI 风格的历史记忆:按上下方向键召回之前发送过的内容(纯客户端插件,重启不丢)。

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:VioletScar-Hui/dsh-chat-history
@wangxueqi/dsh-client-ui-knowledge-cards

Turn conversation content into knowledge cards: concepts, flowcharts, comparisons and more for Web

Memory and knowledge · Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wangxueqi00/dsh-client-ui-knowledge-cards
@weibaohui/dsh-kb

dsh 插件 · 团队知识库:离线知识共享(FDE 盒子场景),浏览/全文检索/加工入口;raw 入料自动入队、bot 会话串行蒸馏成文(Karpathy LLM Wiki 模式:raw 不可变 / 两步加工 / log 流水 / 月度 lint)。

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:weibaohui/dsh-kb
@wishp3/dsh-friend-all

dsh-Friend 聚合包:人格化伴侣、Live2D、语音与记忆。DeepSeek Harness dsh-plugin。

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wanghehe123/dsh-Friend#083424b28ed831c466c89def5e2ec9be97c67f70&path:packages/dsh-friend-all
@wishp3/dsh-friend-asr

语音输入引擎、三种收音模式、转写代理

Memory and knowledge · Agent collaboration

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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.

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No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.

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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.