Plugins

Feishu bridge for DeepSeek Harness (derived from dsh-im-bridge): WebSocket long connection, approval cards, group @-mention-only replies, streaming card updates, /stop command.

CDP bridge to an already-running Chrome/Edge for DSH: screenshots, pixel assertions, DOM/CSS checks, and page JS evaluation over HTTP + WebSocket, with zero child processes, zero npm dependencies, and zero per-use approval.

Desktop (native) control for dsh as a stdio JSON-RPC bridge over a Python core: capture the screen, inject pointer/keyboard input, drive accessibility-tree actions, and gate high-risk operations behind required confirmations.

Zero-dependency MCP client bridge that connects stdio and HTTP MCP servers and registers their tools as mcp_<server>_<tool> for the agent.

DSH ↔ agentmemory session-memory bridge: mirrors session lifecycle into a local agentmemory daemon (REST), exposes memory_recall / memory_remember tools, and injects a per-session memory context window via agent/pre-step.

Memory protocol enforcement plugin: bridges the opencode-memory MCP server, forces memory_weave before tool calls, auto-ingests turns, and injects memory context into agent steps.

Discover and verify portable RoleHub roles, pin each exact bundle, then launch its prompt and bundled skills in an isolated, continuable DSH Session with Host-approved tool bindings and optional Agent Team Room attachment.

DSH plugin (dsh-desktop-launcher) that launches the dsh-desktop Windows Electron shell from the conversation: double-click to run the DSH web in a standalone window, region screenshot with GPU-accelerated selection that auto-pastes into the chat (works with vision bridges), system tray, session manager, auto environment setup, configurable port, single-instance lock.

Plugin de ponte de mensagens instantâneas do DeepSeek Harness: roteia mensagens do Telegram e WeChat para sessões de agente por contato, e responde de volta

Plugin do DeepSeek Harness: notificações em tempo real no Feishu/Lark quando uma sessão do DSH pausa para interação do usuário (solicitações de permissão, perguntas, erros fatais)

Ponte de automação de desktop e navegador (36 ferramentas): controle de janela/tela/mouse/teclado com percepção de elementos via PaddleOCR, navegação via Chrome CDP com snapshots de acessibilidade

Ponte para grafo de conhecimento de código do codebase-memory-mcp: busca semântica de símbolos (BM25), trechos de código-fonte, visão geral de arquitetura com comunidades de Leiden, rastreamento de chamadas/fluxo de dados/entre serviços e grep aumentado por grafo