Discover The Best DSH plugins

DeepSeek Harness plugins — Page 804

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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.

dsh-memory

Layered memory plugin for DeepSeek Harness: strictly separated project/global memory, host-driven recall before tasks and continuous learning after them.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kovey/dsh-memory
dsh-memory

DSH 长期记忆插件(多 provider):OpenAI 兼容的云端嵌入 + Qdrant 向量库,自动记录对话要点与图片概览、自动召回,提供 memory_search/save/forget 工具,并在设置页提供 provider 管理、记忆管理与定期维护。

Memory and knowledge · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:krutziy/dsh-memory
dsh-memory

DSH 长期记忆增强插件:文档索引 + 语义检索 + 跨会话 KV 记忆(agent 工具)

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
dsh-memory

Persistent long-term memory plugin for DeepSeek Harness (dsh): single memory tool, markdown storage, auto session summary, curator governance, user-profile injection.

Memory and knowledge · Skills · Agent collaboration · Productivity
dsh-memory

DSH 本体(web/headless profile)的跨会话语义记忆工具:memory_add / memory_search。智谱 embedding-3 向量 + SQLite + 余弦相似度。配置可选、绝不因缺 key / 缺库 / 缺服务而崩。

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

Long-term memory for the DeepSeek Harness Web GUI: project-scoped and global memory stores, a Memory view tab beside Trajectory with one-item-per-row list and an Obsidian-style link graph, automatic per-turn memory extraction, automatic memory briefing injection into every request, and small-model periodic consolidation (dedupe / merge / link / archive).

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qwert702/dsh-memory
dsh-memory

Long-term memory for DeepSeek Harness agents: user preferences, project facts, session summaries, and knowledge entries, with auto-injection at session start.

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yangyongzhen/dsh-memory
dsh-memory

受 CC-HAHA 启发、面向 DeepSeek Harness 的项目隔离持久记忆插件

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yihefeikong-rgb/dsh-cc-haha-memory
dsh-memory-archive

DSH 记忆库:并入的提示词查看器(看每次模型请求真正发出的全文)+ 阅读优先界面(连续滚动读摘要与原文、全屏)+ 真名解析(工作区 catalog.json 的角色名/周目名/周目↔会话映射与多级回退)+ 提示词面板(压缩指令/收纳占位可编辑落盘);会话与工作区两种根模式,只读会话与归档,复用 DSH 自身的压缩机制与检索索引。

Memory and knowledge · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:vv5v5/dsh-memory-archive
dsh-memory-bridge

Memory Tree bridge for DeepSeek Harness — search/persist memory, manage the memory tree, and drive the local/cloud extraction backends. · 记忆树桥接:检索/落盘记忆、管理记忆树、本地/云端提取开关。

Memory and knowledge · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gangwolf2312-creator/dsh-memory-bridge
dsh-memory-canvas

DSH plugin: offload bulky tool logs to refs/*.md and keep a Mermaid canvas. Don't pip the wrong dsh.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:guobinmengxiang-rgb/dsh-memory-canvas
dsh-memory-core

DeepSeek Harness 长期记忆插件:四通道检索 + 演化闭环 + 分层治理(SQLite 单一事实源 + Markdown 快照)

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jackchen13755/dsh-memory-core
dsh-memory-core

Memory recall + affect state for DeepSeek Harness: BM25-lite recall with source markers, consolidation to structured memory, and a two-scalar affect state.

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:KikaiLastest/dsh-memory-core
dsh-memory-curator

Curated durable memory for DeepSeek Harness: automatic capture of decisions/corrections/prohibitions/open work, progressive-disclosure recall, duplicate consolidation, old-vs-new conflict resolution, and a sidebar management panel.

Memory and knowledge · Skills · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:linx2568/dsh-memory-curator
dsh-memory-dashboard

DeepSeek Harness 内嵌的本地四层记忆浏览器

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:perinchiang/dsh-memory-dashboard
dsh-memory-delta

Layered, auto-injected cross-session memory for AI coding agents: a DSH plugin plus a standalone zero-dependency CLI. Borrows the spec/change/archive discipline from OpenSpec (MIT), but pushes instead of pulls.

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lpf20200901/dsh-memory-delta
dsh-memory-dreaming

从原生会话整理日常记忆、Dream 与每周复查,保留出处并审阅长期事实。

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Kerberos255/dsh-memory-dreaming
dsh-memory-eternal-fork

记忆核心(Memory Eternal)· fork 维护版:DeepSeek Harness 记忆插件——对话结束后自动沉淀知识卡到本地 Markdown Vault(自研去重、自研 CJK 检索、可 git 管理),设置页提供图形化知识库(统计 / 搜索 / 知识图谱 + 侧边栏嵌入式卡片),Agent 通过 memory_recall 工具按需召回历史上下文。原项目由 EternalNight996 创建并维护:https://github.com/EternalNight996/dsh-memory-eternal ;本 fork 由 pokiimon 维护,聚焦 DSH 0.2.0-rc.x 兼容性修复与界面改进,遵循 MIT、保留原作者署名。

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pokiimon/dsh-memory-eternal-fork
dsh-memory-evolve

为 DeepSeek Harness 带来分层记忆(全局 / 用户 / 项目 / GIT 分支 / 每日)与自我进化(经验沉淀 + 技能自动创建)和技能管理、待办管理、CLI 调度(kimi/codex/grok/hermes 等外部 AI 统一调度)、临时信息便签,带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness.

Memory and knowledge · Skills · Agent collaboration · Notifications · Interface extensions · Developer tools · Productivity
dsh-memory-evolve-suite

为 DeepSeek Harness 带来分层记忆(全局 / 用户 / 项目 / GIT 分支 / 每日)与自我进化(经验沉淀 + 技能自动创建)和技能管理、待办管理、CLI 调度(kimi/codex/grok/hermes 等外部 AI 统一调度)、临时信息便签,带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness. 本构建另内置三份记忆运维技能(压缩 / 整理 / 注入轨毒源取证)。

Memory and knowledge · Skills · Agent collaboration · Interface extensions · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Archer76/dsh-memory-evolve-suite
dsh-memory-feeder

DSH plugin that extracts long-term facts from completed turns into an append-only Markdown memory inbox.

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ryan-G-Rolling/dsh-memory-feeder
dsh-memory-file

File-backed memory for DeepSeek Harness: injects your own Markdown memory file each session, adds read/write tools, and reports DSH_HOME drift so session history never silently disappears. Never reads conversations, never opens a network connection.

Memory and knowledge · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wojiao42/dsh-memory-file
dsh-memory-ga

Gated GA-style layered memory for DeepSeek Harness: hard-injected L1, working checkpoint, settlement to Skills/L1/L2 — no silent auto-retain.

Memory and knowledge · Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DiligenceLai/dsh-memory-ga
dsh-memory-graph

Non-invasive SQLite hybrid memory and knowledge-graph plugin for DeepSeek Harness

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zmh2000829/dsh-memory-graph

Find the right plugin, then get started

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Questions about DSH Hub

What is DSH Hub?

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.

Does inclusion mean a plugin is tested and compatible?

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

How do I install a plugin?

Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.