Plugins

Financial market monitor bundle for dsh: real-time quotes, a local watchlist, threshold alerts with cooldowns, periodic polling, and in-chat ASCII/mermaid charts for A-share stocks/indices and crypto (Tencent + CoinGecko).

Memory Standard Protocol (mm) for DeepSeek Harness: layered MEMORY.md with hard budgets, frozen snapshots, mm:// URI interop, session-log digestion, mem_* tools and a standalone CLI.

Connect a stock DeepSeek Harness install to DSH Cloud: device login plus a 20-model gateway provider. Commercial hosted service by AgentsDance AI — new accounts include 500 free credits.

LLM debug console for DeepSeek Harness: captures the full content of every model call at the llm/stream waterfall (options, stream chunks, usage, wire protocol) and shows it in a DevTools-style docked panel, with shared-prefix context diffing, wire-JSON reconstruction, JSON export and a runtime-tunable capture policy.

WeChat iLink ClawBot bridge: official Tencent iLink protocol, Web UI settings (QR login / model / preset / permissions / session management with delete), 24h auto-renewal pushes a fresh QR before expiry, zero downtime.

Continuous water-flow light for the dsh web 'Deep diving...' turn status: three parallax gradient currents sweep the text like flowing water, replacing the stock single-band shimmer. Light/dark themes and reduced-motion respected.

A structured work-state protocol for DeepSeek Harness agent handoffs

NPM-installable DeepSeek Harness plugin that bundles Engram persistent memory MCP and injects parent-agent memory protocol.

DIT.ai provider bundle for DeepSeek Harness: installs 29 OpenAI Chat Completions models and 10 Anthropic Messages models from one DIT_API_KEY, with protocol-specific thinking configuration.

Agent- and GUI-controlled DG-LAB Coyote e-stim plugin: eight `coyote_*` tools plus a DSH web panel behind one safety envelope (soft limits, asymmetric rate limiter, session cooldown, playback caps, disconnect fail-safe); optional auto-stim layer maps agent events (tool calls, errors, turn end) to bounded pulses; official V3 socket protocol with QR pairing, programmable waveforms. Adults only.

A project-agnostic multi-agent collaboration protocol for the DeepSeek Harness: loop guards that stop runaway agent loops, a six-field handoff format, risk-tiered review routing, and a fixed verify→commit→push→review→close sequence. One skill instead of the same rules copy-pasted into every agent's instructions.

DeepSeek-Harness-ACP-Bundle für die Delegation an Editoren: ein per Einzelbefehl startbares Agent-Client-Protocol-stdio-Server-Profil, das dsh-Zugangsdaten und Sitzungsprotokolle teilt.

DeepSeek-Harness-Bundle für Amber-Protocol-Governance-Tools und -Skills

Completes @path references in the Web composer: type @ (optionally ./src/ma) to list matching files and directories, pick one with the arrow keys, and the draft receives an @./relative/path reference (quoted when the path has spaces).

A browser that lives in the DSH host: every session gets its own tab, the AI drives it, and you watch or take over that same tab inside the DSH Web UI — logins, 2FA, QR codes and CAPTCHAs included.

DeepSeek Harness plugin for verified competitive-programming problem-setting workflows.

Community ACP bridge for DeepSeek Harness that supports session/load by replaying a persisted session's transcript

Fantasy glassmorphism skin for the DSH Web UI: a moonlit nether-forest scene with drifting teal clouds, red spider lilies spreading from the lower-left and a sleeping cat in the corner, drawn over a WebGL2 fluid background with its own wallpaper and video backgrounds. Ships two switchable variants (pale / saturated blue), three bundled background tracks plus uploads kept in local IndexedDB, and cat-paw, fish, bubble and starlight decorations. One switch restores the stock interface exactly.

Project-based learning coach: a subject-agnostic teaching engine plus swappable domain packs (Unity/C# included), shipped both as a DSH skill and as an installable bundle. The skill protocol enforces attempt-first teaching and graded hints; a zero-dependency validator rejects ability claims their evidence does not support and blocks stage acceptance while blockers are open.

Declares per-model reasoning-effort ladders for third-party providers in the llm-pi-ai settings section, so DSH's stock thinking-intensity selector works on models the pi-ai catalog does not describe.

dsh web 插件：自动配置模型思考档位与能力，并按 provider+model 记住最后选择的思考档位

Read-only MCP server over the DSH plugin-certification registry, exposing a plugin certification grade, its snapshot and the five-dimension evidence behind it.

MCP server management panel in Settings: add, edit, enable/disable and delete servers across user and workspace scopes with form or JSON editing, and auto-register discovered MCP tools as native conversation tools.

Three-party collaboration protocol for dsh: Step List state machine, five-tier review chain (Gemini/web/Claude Code/dialog/manual), alternatives adjudication, cross-restart resume with heartbeat, and capability persistence.