Apache-2.0 human-agent collaboration platform; joins DeepSeek Harness via the official @agentrq/dsh-plugin-agentrq bundle that bridges workspace MCP tools into a live dsh session.
DSH integration
Compatible
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-21
License
Apache-2.0
01What can it help you accomplish?
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
02How to install into DeepSeek Harness
Prerequisites
- 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)
Installation steps
- 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>
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
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
04Who is it for? When not to use it?
Good for
- 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
Not for
- 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.
05Compatibility, maintenance and safety notes
- 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)
06Frequently asked questions
How does AgentRQ connect to DeepSeek Harness?
Via the official `@agentrq/dsh-plugin-agentrq` bundle, installed into a dsh profile with `npx @deepseek-ai/dsh plugin --profile agentrq-<workspace> add @agentrq/dsh-plugin-agentrq`. It bridges the workspace's tools to the model as `mcp__agentrq__*` and holds a supervised workspace session.
Is the integration native or MCP-based?
MCP-based: the plugin holds a supervised workspace session so tasks assigned to the agent and the human's replies arrive over the MCP channel and land in the live dsh session — no polling, and no leaving the harness to work the queue.
What do I need before installing?
The DeepSeek Harness CLI (available via `npx @deepseek-ai/dsh`) and an AgentRQ workspace. The workspace ID, full MCP URL with token, and ready-to-paste config are in Workspace Settings → Setup → DeepSeek Harness.
Can one dsh profile serve multiple workspaces?
No. A dsh profile serves one workspace and carries its own endpoint, so run one profile per workspace — switching workspaces is switching profiles.
Where does my data go?
Tasks and replies sync in real time with the AgentRQ backend through the workspace MCP endpoint (production URLs look like `https://WORKSPACE_ID.mcp.agentrq.com/`). AgentRQ itself is self-hostable via Docker if you want to run your own instance.
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08Data and sources
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
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.
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