dshmarket
Visual plugin market inside DeepSeek Harness — browse, search, and one-click install community plugins. · DSH 可视化插件市场:逛一逛,点一下,装好。
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Visual plugin market inside DeepSeek Harness — browse, search, and one-click install community plugins. · DSH 可视化插件市场:逛一逛,点一下,装好。
Chinese-platform last-30-days research skill covering Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu, and Toutiao. Includes Markdown, JSON, compact context, and Guizang-inspired Swiss/IKB HTML report output.
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
The strongest free web search plugin for coding agents. Plug-in web search, X search, and page fetch for models without native web access. Free out of the box: no signup, no API key (Firecrawl keyless, 1,000 free credits/month)
Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
Repository-root manifest for the DeepSeek Harness plugin that lives in extensions/dsh — the same package published to npm as dsh-deja. It re-exports the subdirectory so the plugin installs from a bare git URL or from github:vshulcz/deja-vu#path:extensions/dsh; the npm package is the shorter path. The repository itself is the Go project behind the deja binary.
Knowledge graph memory for DeepSeek Harness and OpenClaw — cross-session recall, PageRank, communities, and vector search
Find DeepSeek Harness plugins inside the agent — live GitHub dsh-plugin topic search, ranked by stars.
Codex-style @path references for the DeepSeek Harness web GUI: search workspace paths without injecting file content
NPM-installable DSH Web plugin for managing archived sessions.
AnySearch web search and fetch providers plus advanced tools for DeepSeek Harness
DSH redteam security research modes and runtime plugins, managed from one settings page: deploy the nine presets, install, update and uninstall the seventeen runtime plugins for the current profile.
Opt-in DeepSeek Harness Skill-only bundle for the Archify architecture-diagram skill.
Use ChatGPT and Codex subscriptions in DeepSeek Harness with OAuth, quota, safe resets, web search, images, and Fast mode
Free web search for DeepSeek Harness: 10 engines (Bing/DuckDuckGo/AnySearch/SearXNG/Exa/Tavily/Keenable keyless) + time filtering + platform search + web_fetch, with web settings UI.
Cross-session project memory for DeepSeek Harness: seven-layer SQLite memory, first-turn snapshot injection, per-message keyword hits, memory_remember/search/project tools, automatic reflection with reflection-fold UI, and idle-triggered dream consolidati
A community plugin marketplace for DeepSeek Harness, built to the official plugin spec — browse, search and install 4000+ human-curated community plugins without leaving the app. · DeepSeek Harness 社区插件市场(遵循官方开发规范):4000+ 人工精选社区插件,每日更新。
面向金融与产业研究的一屏式实时行情大屏:A股/港股/美股指数、大宗商品、美债收益率、板块热点、主力资金流、7×24 快讯、产业链自选股、AI 大模型 Token 追踪。A real-time market research cockpit on a single screen: CN/HK/US indices, commodities, treasury yields, sector hotspots, capital flows, 7×24 news, industry-chain watchlists and AI token usage trends.
DeepSeek Harness 插件:对话内多源搜番,卡片详情、磁力复制与规则流媒体在线播放
Complete reverse-skill (87 skills) as a DeepSeek Harness Cordis plugin — reverse engineering, authorized pentesting and security research skill router pack.
Argo 阿尔戈 — 统一搜索与证据核验。推荐 npx -y github:taxueseek/argo 或 install.sh 安装(不依赖 npm 发版)。多语言路由、150+ 引擎、影视/体育/金融等垂直源、垂直结构化模态卡、12 个 MCP 工具。
Hanai Worth · 值见 — a local-first A-share value research workbench powered by DeepSeek Harness
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
Argo 阿尔戈 — 统一搜索与证据核验。多语言检测与跨语言回退;约 120+ 引擎 TF-IDF 路由 + RRF;影视/体育/地理/组织/媒体/金融/宏观/化学等垂直源;垂直结构化模态卡(火车票/油价/贵金属/万年历/星座/手机/汽车/挂号);日常 combo 预算与深度研究 boost;recovery 防污染;Selection×Absorption;MCP(含 argo_local_search)。入口:install.sh / npx github:taxueseek/argo / mcp_server.py。