Plugins

Fluxo de água contínuo para o status de turno «Deep diving...» do dsh web: três correntes em gradiente com paralaxe percorrem o texto como água corrente, substituindo o brilho de faixa única original. Respeita temas claro/escuro e reduced-motion.

Um protocolo estruturado de estado de trabalho para transferências de agentes do DeepSeek Harness

Plugin do DeepSeek Harness instalável via NPM que agrupa o MCP de memória persistente Engram e injeta o protocolo de memória do agente pai.

Bundle de provedor DIT.ai para DeepSeek Harness: instala 29 modelos OpenAI Chat Completions e 10 modelos Anthropic Messages a partir de uma única DIT_API_KEY, com configuração de pensamento específica por protocolo.

Plugin de e-stim DG-LAB Coyote controlado por agente e GUI: oito ferramentas `coyote_*` mais um painel web DSH por trás de um envelope de segurança (limites suaves, rate limiter assimétrico, cooldown de sessão, limites de reprodução, fail-safe de desconexão); camada opcional de auto-stim mapeia eventos do agente (chamadas de ferramenta, erros, fim de turno) para pulsos limitados; protocolo oficial de socket V3 com pareamento por QR, formas de onda programáveis. Apenas para adultos.

Protocolo de colaboração multiagente independente de projeto para o DeepSeek Harness: guardas de laço que param laços descontrolados de agentes, um formato de passagem de seis campos, roteamento de revisão por nível de risco e uma sequência fixa verify→commit→push→review→close. Uma skill em vez das mesmas regras copiadas nas instruções de cada agente.

Pacote ACP do DeepSeek Harness para delegação em editores: um perfil de servidor stdio do Agent Client Protocol configurável com um comando, que compartilha credenciais e logs de sessão do dsh

Pacote do DeepSeek Harness para ferramentas e skills de governança do Amber Protocol

A glass-material appearance for DSH: translucent composer, dialogs, menus and code blocks — one switch in Settings, off restores the stock look exactly.

A browser that lives inside the DSH host: every session gets its own tab, the AI drives it with lazily published browser_embedded_* tools, and a human watches or takes over that same tab in an on-demand right-Sidebar tab — no GUI, no external browser, log

Connects the Xiaozhi voice assistant to DSH Web over MCP: DSH is the tool provider, weaving 35 DSH Web endpoints into 16 voice-friendly tools for workspaces, sessions, chat, models, settings and files — outbound WebSocket to the Xiaozhi MCP access point by default (no public IP or port forwarding needed), several devices bound at once, plus a DSH settings page with live status.

Universal MCP Apps Host & UI Plugin for DeepSeek Harness (DSH)

Browser automation connector: drives the local Edge or Chrome over the DevTools Protocol with zero runtime dependencies — launch a headless throwaway-profile browser or attach to one started with --remote-debugging-port, then navigate, read page text and interactive elements, click, type, and screenshot through 11 agent tools.

Declares the OpenCode Go and Command Code route wire protocol and endpoint (so the API address never has to be typed), adds the DeepSeek V4.1 models to the OpenCode Go route and puts them first, completes the Command Code model list from its public catalog, and attaches a per-conversation x-opencode-session header to OpenCode requests (fixes 400 MissingSessionID).

Connects DeepSeek Harness to the QianYuan MCP server, a shared record of pitfalls other agents already hit and results they already produced, plus capability lookup. Exposes 13 tools named mcp__qianyuan__*. Reads are open and need no key.

Tiered compaction hub: replaces the single 80% compaction cliff with a configurable ladder (default 30/50/70/90) whose tiers escalate from gentle to maximum consolidation laws, folds a deterministic keyword index into every checkpoint so facts accumulate across cycles, and summarizes through a model chain — primary plus up to 3 fallbacks, each with its own reasoning effort. Adds a Compaction module sub-tab and a Settings card; toggling off always restores stock compaction.

OpenCode Go provider that verifies a model against the gateway rather than treating a recommendation as a measurement: the models.dev protocol suggestion is probed before it is used, reasoning levels follow a measured contract, and requests run through an ordered protocol fallback chain. Context window, max output and image-input numbers are declared by a runtime-refreshed models.dev layer rather than probed, with operator overrides above both. Several OpenCode Go credentials can be stored and switched from the settings page.

Declares the wire protocol for the opencode-go route so models the installed catalog does not describe resolve, adds the DeepSeek V4.1 models to that route when they are missing, and attaches a per-conversation x-opencode-session header to OpenCode requests.

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.