Plugins

Multi-agent team collaboration for DeepSeek Harness with per-assistant models, skills, MCP servers, independent contexts, shared workspaces, task coordination, and conversation management.

DeepSeek Harness (dsh) bundle wiring SkillRoute's skill router into your agents.

MCP Connector for DeepSeek Harness: an MCP manager with one panel to connect servers, configure authorization, search tools across connections, and troubleshoot failures. Browse a continuously updated catalog of over one hundred connectors; filter by connection/server/status, inspect readable parameters and the last successful cache time, and rediscover tools. Supports OAuth 2.0 PKCE, API keys, stdio/HTTP, and mcpServers JSON import. Maintained by Qichacha/QCC.

Web access for DSH agents: fetch JS-rendered or protected pages as clean markdown, aggregated search across 14 engines, and stateful interactive sessions (click, type, scroll, eval, screenshot) against a hosted or self-hosted Rust browser engine. Every session returns a live view URL so a human can watch the agent browse and take over with the mouse.

aginxbrowser plugin for DeepSeek Harness: fetch JS-rendered / Cloudflare-protected pages as clean markdown, aggregated web search (Baidu/Sogou/WeChat and 11 more), and indexed interactive sessions (click / type / scroll / eval / screenshot) against a host

Block-addressed document editing: an MCP server exposing geml_get / geml_set / geml_check and friends, so an agent reads or rewrites one addressed block of a Markdown or GEML document instead of the whole file. Ships the GEML authoring skill and a code-graph skill that builds and navigates a project call graph as GEML codemaps.

Agent-Native document handling for DSH — addressable blocks let an agent read and edit one section instead of the whole file. Ships the geml MCP server and the authoring and code-graph skills.

Long-term memory for DeepSeek Harness: multi-channel retrieval and an evolving memory store.

Skills & MCP manager in the DSH web settings: browse/enable/import/delete skills across project and user roots, and manage stdio/streamable-http MCP servers with a real connection (tools registered as mcp__<server>__<tool>, config in ~/.dsh/mcp.json).

Manage MCP servers (stdio / streamable-http) for dsh web; tools are reached only through four middleware tools. DSH MCP 管理器：Web 侧边栏「MCP」入口，面板按状态分级展示 MCP 服务器（运行中/连接中/已配置/失败），支持快速接入（stdio / streamable-http 表单）与粘贴 mcpServers JSON 导入。已连接服务器的工具一律经中间层工具（ws_mcp_

MCP server manager for DeepSeek Harness: add, edit, enable/disable, restart and delete MCP servers from Settings → MCP 管理, with JSON export/import, four mcp_manager_* model tools and an HTTP API; install via npx, npm or cross-platform scripts.

Visual MCP manager for the DSH web UI: inspect, add, remove, enable/disable MCP servers and view their live connection status from Settings → MCP.

Browser automation (Playwright) with a live view, an MCP server exposing DSH agents to any MCP client, and GitHub issue/PR/webhook review tools.

Connects DeepSeek Harness to Multisim MCP for circuit generation, simulation, diagnostics, design optimization, and experiment report export.

Responsive MCP management UI for DeepSeek Harness Web — floating panel, JSON import, and profile-backed Host Remote management.

AI 原生智能爬虫与 JavaScript 逆向工程平台，基于 DSH、Patchright/CDP 与独立语义运行时，从浏览器证据恢复参数生成逻辑并交付可验证 Solver。

Windows computer use for DeepSeek Harness: an MCP stdio server over a PowerShell UIA backend exposing 22 desktop tools (UIA tree, screenshots, typed input, OCR, window management, failsafe).

Collection of skills for Upstash

小说写作助手插件（v4.1.1）：句式/情感/意象分析、伏笔设定管理、本地语义检索、氛围光谱、风格画像报告、文笔六维基线带、原创模式与创作资料、写作哨兵（衔接/OOC/大纲）；附 stdio MCP 服务器（Claude Desktop / Cursor 可用）。

MCP bridge that lets ChatGPT Web create, view, continue, and supervise DeepSeek Harness agent sessions and goals while preserving DSH's native approval, sandbox, and workspace security model.

GUI in the DSH settings panel: toggle/delete MCP servers, browse and trash skills, and list built-in plugin packages — hot-applied without restart.

Skills & MCP section in Settings: browse, create, edit and delete skills with live directory watching, toggle loading of any on-disk skill through frontmatter policy keys, register local folders or GitHub repos as extra skill scan roots, edit the MCP server rows in the profile patch, import MCP config from Claude Code or Codex, and install from a curated market of skill repos and MCP servers.

A zero-residence context engine: large tool payloads are evicted from the live context into a queryable store, only pointers stay behind, and any payload can be reconstructed verbatim on demand — so per-turn prompt tokens stop growing with the transcript. It ships four capabilities: zr_recall rebuilds masked originals by tool-call id or session sequence from the persisted session log (the content is not resident, never lost), zr_ledger reports the attention integral and a three-part cost breakdown, zr_compact arms one forced compaction, and zr_fast runs long commands asynchronously and hands back a handle immediately.

The organ kernel of Agent-Body: plugins organized as one body. Each command is turned into a nerve impulse that deterministically innervates the organ which should handle it and names the capability to use; a heartbeat with a variable interval (faster on alerts, slower when idle) pumps operator directives, proprioception and homeostasis warnings system-wide; reflex arcs fire with zero model calls; failures go through deterministic attribution (missing tool / arguments / permission / timeout / network), a prescription, and a re-check loop, with argument errors never auto-retried. A missing organ is compensated by the one with the highest capability overlap, and tool schemas are gated by the current intent (84.7% measured reduction, reproducible in-repo). This entry is the kernel plugin package inside the agent-body repository.