Plugins

IM webhook and local notifications on turn completion, errors, or approval (Feishu/WeCom/DingTalk/Slack/Discord/custom).

Shared multi-agent task board (create/claim/transition/query) over a Cordis service key.

In-app plugin store for the DSH Web UI: browse, search, one-click install, compat badges.

Export the append-only session log as human-readable Markdown or HTML, grouped by trajectory source.

Native DSH browser integration for the DSH Plugin Store

Token optimization for DeepSeek Harness with searchable MCP tool discovery and lazy loading, configurable compaction controls and status reporting, tool-output reduction, long-text vision summarization, and opt-in conversation archiving with paginated retrieval.

DSH Web UI 插件应用商店：目录浏览/搜索/一键安装/兼容徽章/已装列表。A plugin store for DSH Web UI — catalog browse, search, one-click install, compat badges, installed list.

DeepSeek Harness 独立社区插件商店：发现、安装并提交经过验证的插件、工具与扩展。 | Independent community plugin directory.

Tool-call discipline for DeepSeek Harness with behavior prompts, failure-driven concurrency reduction and retry guidance, post-write checks with backup rollback, high-risk command gates, change summaries and verification reminders, advisory project-memory checks, configurable project-discipline reminders after compaction or at intervals, and compliance statistics.

Layered token-optimization pipeline for DeepSeek Harness: output ladder, MCP lazy loading,compaction driver, cache-hit reporting. Built on real DSH plugin APIs; ~40-60% input saved in long sessions.

Shares a local memory pool between DeepSeek web chat and Harness, with full-answer saving and sidebar browsing and injection. The optional Windows desktop patch for DSH 0.2.2-rc.1 adds shadow sessions that sync completed web turns to Harness, display Harness replies in the original web chat, and hand tasks off to Harness.

Behavior-management plugin for DeepSeek Harness: tool-call discipline prompt section, failure-triggered parallelism convergence (pool drops to 1, auto-restores), consecutive-failure user intervention. Complements dsh-token-optimizer; works standalone.

12 tested engineering skills (git commit, code review, test-first, plugin dev, debugging, changelog, PR review, task breakdown, and more): every SKILL.md passes a format validator aligned with the official skill rules plus an isolated load smoke test.

dsh-ecolink DSH 适配层:直读本地记忆池、pre-step 注入(打分+预算+会话去重)、#记忆名 过滤,打通网页端记忆生态

Tested-curation lab for DSH plugins: every entry passes real install/static-scan gates in an isolated environment, with full logs and reproduction commands (Chinese-first).

Self-learning loop for dsh: record lessons, draft and promote skills, periodic curator review that corrects, consolidates, and retires skills.

Token usage and cost metering for dsh: per-session and aggregate statistics with configurable pricing and reports.

Security and governance for dsh: rule-based tool denial, full tool-call audit trail, and governance reports.

Native A2A (Agent-to-Agent) server for dsh: expose this dsh as a callable agent over HTTP with JSON-RPC tasks.

Sidebar panel for a weekly, human-curated Chinese ranking of the DSH ecosystem: 31 tracked projects (17 installable plugins plus tools/skills) ranked by live GitHub stars with week-over-week deltas, and a real-call availability survey of the "free" models. Sponsor slots are labelled and sit outside the ranking.

Makes a connection between two DSH sessions a first-class object: drag from the composer anchor or a session row to open one, set a permission in each direction, and mount cards on it. Each end gets five host tools for messaging at a chosen urgency, reading the peer work state, and sharing a convention box; awareness is pull-based, so an idle connection costs no context.

DeepSeek Harness tools for finding and inspecting plugins in the dshhub catalog

Tool-surface governance for DeepSeek Harness: six scope-separated deny lists cut each agent's tool visibility through the host tools.restrict() API, unseen tool names wait in a pending gate, and dispatch_composed assembles a minimal surface from capability tags — a tasks array runs subagents in parallel, and a continued subagent keeps its original surface. Every decision goes to an append-only ledger that rotates into dated archives without ever losing history.