Apache-2.0 人机智能体协作平台，通过官方 @agentrq/dsh-plugin-agentrq 插件把工作区 MCP 工具桥接进 DeepSeek Harness 实时会话。
DSH 适配
兼容
作者声明
安全审计
未审计
最后核验
2026-08-21
许可证
Apache-2.0
01它能帮你完成什么？
Delegate and track AI-agent tasks from inside DeepSeek Harness via a shared human-agent workspace
Tasks assigned to the agent delivered over the MCP channel into the live dsh session, with human replies, status updates and permission requests synced in real time to the AgentRQ task board
Teams running DeepSeek Harness (dsh) who want human-in-loop task delegation, review and real-time chat with their agents across mobile, web and desktop
Automate recurring work with scheduled tasks and event-driven workflows
Cron-scheduled and recurring tasks spawned automatically by a background poller, plus visual event workflows that create downstream tasks across workspaces with no glue code
Operators building multi-step release or content pipelines who want agent work chained together and visible on a graph instead of scripted
Supervise all workspaces and tasks across the whole AgentRQ account from one MCP endpoint
Global management via the Supervisor (CoreMCP) at mcp.agentrq.com — list/create/update workspaces, listAllTasks, reassign, reorder and unified workspace statistics
Power users and supervisors who manage several agent workspaces and need a bird's-eye view instead of per-project profiles
02如何接入 DeepSeek Harness？
前置条件
- DeepSeek Harness (dsh) CLI available via npx (@deepseek-ai/dsh)
- An AgentRQ workspace with its MCP URL and token (visible in Workspace Settings → Setup → DeepSeek Harness)
安装步骤
- 01
Install the plugin into a dedicated dsh profile: `npx @deepseek-ai/dsh plugin --profile agentrq-<workspace> add @agentrq/dsh-plugin-agentrq`
$ npx @deepseek-ai/dsh plugin --profile agentrq-<workspace> add @agentrq/dsh-plugin-agentrq
- 02
Pin the workspace's MCP URL in `~/.dsh/profiles/agentrq-<workspace>/cordis.patch.yml` using the config block copied from Workspace Settings → Setup → DeepSeek Harness
- 03
Start the harness with that profile: `npx @deepseek-ai/dsh --profile agentrq-<workspace>` (one profile per workspace; switching workspaces means switching profiles)
$ npx @deepseek-ai/dsh --profile agentrq-<workspace>
验证接入成功
作者未说明
03DSH 适配与能力边界
Official @agentrq/dsh-plugin-agentrq bundle installed into a dsh profile; bridges the workspace's MCP tools into the live harness session as mcp__agentrq__*
Live workspace session in dsh
AgentRQ workspace MCP URL + token pinned in the dsh profile→workspace tools bridged to the model as `mcp__agentrq__*`; assigned tasks and human replies arrive in the live session with delivery, startup catch-up and reconnect handling
holds a supervised workspace session over the network to the workspace MCP endpointTask & status management via MCP tools
task assignments from the board or human chat→`createTask` (with optional cron_schedule), `updateTaskStatus` (notstarted / ongoing / blocked / completed), `getTask` dequeue, `reply`, `getWorkspace`, `downloadAttachment`
task status changes and replies are written to the AgentRQ backend and synced in real timeVisual task board & scheduling
tasks created by humans or agents→list / Kanban dashboard on any device, launch-date and recurring tasks (every 15 min, hourly, daily, weekly, custom) spawned by a minute-ticking background poller
Event-driven workflows
named signals such as `qa_passed`, `deploy_finished`, `blog_published` fired when tasks complete→subscribed workspaces automatically get new tasks — release processes wired on a graph with no polling or glue code
completing a task that emits an event automatically creates tasks in subscribed workspaces
04适合谁？何时不该用？
适合
- Teams running DeepSeek Harness (dsh) who want human-in-loop task delegation, review and real-time chat with their agents across mobile, web and desktop
- Operators building multi-step release or content pipelines who want agent work chained together and visible on a graph instead of scripted
- Power users and supervisors who manage several agent workspaces and need a bird's-eye view instead of per-project profiles
不适合
- The dsh plugin connects to the workspace's remote MCP endpoint (production URLs follow https://WORKSPACE_ID.mcp.agentrq.com/), so task delivery and real-time notifications require network access and a valid token.
- While the platform itself is self-hostable, the dsh plugin flow relies on the workspace MCP URL and filled-in config served from the AgentRQ dashboard; fully air-gapped operation would require self-hosting the backend.
05兼容性、维护与安全提示
- A dsh profile serves exactly one workspace and carries its own endpoint; managing several AgentRQ workspaces from DeepSeek Harness means running and switching multiple dsh profiles.
- The dsh plugin connects to the workspace's remote MCP endpoint (production URLs follow https://WORKSPACE_ID.mcp.agentrq.com/), so task delivery and real-time notifications require network access and a valid token.
- While the platform itself is self-hostable, the dsh plugin flow relies on the workspace MCP URL and filled-in config served from the AgentRQ dashboard; fully air-gapped operation would require self-hosting the backend.
Apache-2.0 · actively maintained (latest release v0.4.2, 2026-08-19)
06常见问题
AgentRQ 如何接入 DeepSeek Harness？
通过官方 `@agentrq/dsh-plugin-agentrq` 插件包，用 `npx @deepseek-ai/dsh plugin --profile agentrq-<workspace> add @agentrq/dsh-plugin-agentrq` 安装到 dsh profile。它会把工作区工具以 `mcp__agentrq__*` 形式桥接给模型，并维持一个受监督的工作区会话。
是原生集成还是基于 MCP？
基于 MCP：插件维持受监督的工作区会话，分配给智能体的任务和人类回复都通过 MCP 通道直接进入 dsh 实时会话——无需轮询，也不用离开 harness 去处理任务队列。
安装前需要准备什么？
DeepSeek Harness CLI（可用 `npx @deepseek-ai/dsh` 调用）和一个 AgentRQ 工作区。工作区 ID、带 token 的完整 MCP 地址以及可直接粘贴的配置，都在工作区的 Workspace Settings → Setup → DeepSeek Harness 里。
一个 dsh profile 能服务多个工作区吗？
不能。一个 dsh profile 只服务一个工作区并携带自己的接入端点，所以要为每个工作区各建一个 profile——切换工作区就是切换 profile。
我的数据会去向哪里？
任务和回复通过工作区 MCP 端点（生产环境形如 `https://WORKSPACE_ID.mcp.agentrq.com/`）与 AgentRQ 后端实时同步。AgentRQ 本身支持 Docker 自托管，如需完全私有部署可自行运行后端。
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08数据与来源
The `@agentrq/dsh-plugin-agentrq` bundle brings AgentRQ into DeepSeek Harness. It bridges the workspace's tools to the m…
npx @deepseek-ai/dsh plugin --profile agentrq-<workspace> add @agentrq/dsh-plugin-agentrq
页面基于项目公开文档、仓库元数据和 DSH Plugins 的结构化解析生成；最后核验于 2026-08-21。发现错误？提交更正。
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