Awesome DeepSeek Harness

Plugin and skin collection for DeepSeek Harness (DSH) Web UI - task board, git graph, right-side panel, remote mobile UI, pet, live token stats, and skin center.

带文件、终端、Git、子代理和浏览器的侧栏工作台

Claude Code 风格全屏终端 TUI：像素鲸鱼顶栏、双流光大字、实时工作状态行、思考流式展开、双击 Esc 时间回溯、上下文进度条 + TPS 仪表；接入 Agent preset（standard/code/minimal/cordis）、Skills、MCP、Goals、Todos、子代理，/ 命令注册表与随附技能（audit/bug/review/practice/pr_comments/release-notes/vuln-check）；纯插件挂载零核心改动。

DSH Web GUI 鲸鱼娘主题皮肤（深海女仆工坊 maid-atelier：亮/暗双模式）

Lively Working-line extension for pi CLI and DSH

把 DeepSeek Harness 变成 2005 年门户网站：侧栏广告、对话内信息流、角落弹窗、抽奖转盘等整套虚构广告 UI 插件

Two-phase DeepSeek Harness preset: Minimal-aligned bootstrap, then full Standard tools (Project2 98/99)

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.

OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

Agent OS: the agent gets smarter on its own. We just hold the line: the grading command and expected result never make it into the success contract we hand it. Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 13 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness.

AgentTeams plugin for DeepSeek Harness

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org

Installs a dedicated AI novel-writing preset and workbench: revisioned local project assets, a compact side drawer, and native approval-gated single-file changes.

AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix

插件市场 (plugin marketplace): 打开 Settings → Plugin Market 浏览/搜索/一键安装社区插件；安装源限制为 curated awesome-dsh-plugin 注册表（其余拒绝），默认禁用构建脚本（pnpm>=10 需显式开启）。

Community distribution: TUI, desktop, and Web UI as one bundle with layered installation.

记忆、技能、待办和外部 Agent 编排

DSH plugin mapping minimal-mode bash to Git for Windows bash via cordis.patch.yml agent preset; idempotent preset install with sandbox gating

A DeepSeek Harness plugin for Context dashboard and command — showing what the model's context window is made of and how it evolves.

The World's First Unified Virtual Filesystem For AI Agents

让 DSH 读取/点击/填表/滚动/导航当前 Chrome 标签页（文本优先，保留登录态）

Export DSH conversations as Smartisan Notes-style PNGs, or create and update Markdown notes in a configured account-scoped workspace.

对话内多源搜番（Mikan/AniBT/AnimeGarden）：卡片展示 Bangumi 评分与详情、按字幕组浏览、复制磁力/种子；可选流媒体解析播放 Tab

Web/X 搜索与抓取桥：为纯文本 coding agent 提供结构化 JSON 证据（search/fetch/citations），引擎可选 Antigravity CLI（免 key）/带 key 引擎/X（Grok Build 登录态）。

给 Agent 用的统一搜索与证据核验：120+ 引擎、多语言路由、影视/体育/金融垂直源、双层缓存、10 个 MCP 工具

OCR、版面与语义结构化视觉证据

为纯文本 DSH Agent 提供 10 个结构化视觉工具：意图感知图片问答、长截图 OCR、原始像素 grounding、UI 还原、像素 diff 等

Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG trace, cutout, screenshots). One-command install, no Python, image turns work like ordinary tool-calling turns.

The DeepSeek Harness plugin for OpenPencil — preview, inspect, and edit real .op documents inside a conversation.

从协作工具资料蒸馏工作风格与同事 Skill

Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.

J-Space Cognition Suite V3.6 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research.

900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

The skills for trading, to make your agent earn for you.

🚀 Expert guidance for HarmonyOS NEXT (API 12+) development. Covers IDE operations, performance tuning, architecture (HAP/HAR/HSP), and automation testing.