Plugins

Web Audio agent-heartbeat cues for the DSH web GUI: a low working hum while an agent is busy, ticks on streaming output, and a chime when a session awaits input or work finishes, with per-voice volume, mute toggle, and optional local audio files.

Pressing Enter with an empty composer steers the first queued message into the running turn while the agent is busy.

Deepseek harness (Plug-in)

此为 DSH 生态插件。Dolphin - 主动巡检型安全防御插件，支持本地扫描与远程 SSH 巡逻。将渗透测试方法论（信息收集→漏洞探测→利用验证→报告）转化为主动防御巡检流程：基于 Semgrep 的扫描层与基于 SSH 的执行层相融合，可对本地目录做静态扫描，也可将扫描命令经 SSH 下发至远程主机执行并回收结构化结果。

Standalone dsh plugin (maintained by dsh-external): review agent-produced file changes (line-level red/green diff + undo) as a chat turn-tail row and a coding-sidebar tab. Lineage: originally a port of left0ver/dsh-file-review; previously maintained in-tr

受控自进化 AI Agent 框架：CQRS 读写分离、子代理自主进化、人类锁定根分类的 Agent 错误自愈路由表（DSH 插件生态 bundle 包）

Session-header button that previews and downloads the exact request frame DeepSeek Harness sends to the model: the full system prompt, the declared tools array, and the wire message array (system/user/assistant/tool-result) rebuilt from the session log via the same folds the agent loop reads.

Approval-gated workspace instructions and memory for DeepSeek Harness

Two-way agent bridge for Feishu (Lark) and DingTalk groups: chat with a DeepSeek Harness agent from IM groups via long-connection / Stream Mode — no public port needed. Workspace selection/creation, session switching, archiving (synced with DSH GUI), configurable from the DSH settings page. Feishu uses interactive cards, DingTalk uses text commands.

Decides whether Python code is original or a derivative work: reports the longest identical expression span against an upstream tree, an exemption rationale per finding, and a risk list. Pure stdlib `ast` analysis — offline, no model calls.

Browser automation for DeepSeek Harness: agent-driven real-browser control (managed Chrome with an isolated persistent profile, or attach to your daily Chrome over CDP) with snapshot, click, fill and page-reading tools; records manual operation flows and replays them with variable slots to create test data on demand; ships 27 browser_* tools plus a Settings panel.

Model switching, model capability configuration, fixed compaction models, subagent routing, and input history enhancement.

Multi-agent frugality defense plugin: read-ledger dedup metrics, compaction-immune rules, completion gate, cheap-model review lane.

NPM-installable DSH Web plugin for safely loading and managing skills across DSH and common local Agents.

Primary-controlled deliberation and opt-in masked review for DeepSeek Harness

Visual Kanban board for DeepSeek Harness with Gitea-backed tasks, workflow columns and a dedicated agent session per task.

WhaleHarbor desktop pet for DeepSeek Harness: an always-on-top transparent float window hosts a chibi whale-maid built from 13 AI-generated parts and animated as a CSS paper-doll (breathing, blinking, ahoge sway, sweat, hops, tremors), mirroring work state in eight moods — idle, busy, approval, question, error, celebration, nap, and subagent clones — with poke, drag, three sizes, tray toggle, and live stats in the speech bubble. Requires the WhaleHarbor desktop shell (Windows build).

XiaoShuang desktop pet for DSH: six-layer memory, persona injection, mood-driven video avatar, manual emotion menu, and TTS replies.

Whole-book translation production line for DeepSeek Harness: deterministic chapter detection and segmentation, per-chapter subagent translation, glossary control, full-book review, targeted revision, and auditable meta.json evidence.

Capture selected DSH, local MCP, or native WebMCP calls as reviewed, parameterized routines, expose typed tools, and replay with fresh approval.

Multi-role parallel argumentation for DeepSeek Harness: runs the real Codex and Claude CLIs in parallel, has the DSH model (Judge) write a third-party verdict back into the conversation, plus Obsidian-style single-agent direct chat and per-role model config.

OMC-style multi-agent orchestration for DeepSeek Harness: 29 omd-* skills and 12 /omd-* slash commands over the plan-execute-review-verify pipeline and team/autopilot/ralph modes.

DSH knowledge-graph memory with a better-sidebar tab and a standalone /graph-memory/app dashboard: extracts TASK/SKILL/EVENT nodes, recalls across sessions, and ships as the npm package dsh-graphmemory.

Consult multiple expert advisor models in a retro CRT chat-group card: one ask_advisors call runs an auto-deepen pipeline (driver deep-question, advisor relay, synthesis conclusion) with SSE streaming, 26 provider presets, a configurable daily quota, stop/resume, and optional advisor tool calling.