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https://github.com/TommyFang2077/dsh-desktop.git
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fix: ship a loadable AgentRQ bundle that stays idle without a workspace URL
The first integration copied sources without lib/, skipped packaging paths, and could fail the default web profile when url was unset. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -1,56 +1,29 @@
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# @agentrq/dsh-plugin-agentrq
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# agentrq
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AgentRQ task manager for [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness).
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AgentRQ task manager bundled with [DeepSeek Harness Desktop](https://github.com/TommyFang2077/dsh-desktop). Upstream: [agentrq/agentrq](https://github.com/agentrq/agentrq).
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Create, manage, and automatically receive [AgentRQ](https://agentrq.com) tasks without leaving the harness. The bundle ships two rows: the workspace's tools bridged to the model, and the harness-side behavior a tool bridge cannot provide on its own — a supervised workspace session that delivers AgentRQ's pushes into the live agent, and the AgentRQ working agreement as a system-prompt section.
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The desktop app copies this package into `~/.dsh/profiles/web/node_modules/agentrq` on startup. Without a workspace endpoint the plugin stays idle and does not affect other built-in plugins.
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## Install
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## Enable
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**Requires pnpm.** `dsh plugin` is a thin forwarder to `pnpm` for every profile — installing any plugin, this one included, fails with `pnpm not found on PATH` unless pnpm is already installed (`npm install -g pnpm`, `corepack enable pnpm`, or `brew install pnpm`). This is a DeepSeek Harness CLI requirement, not something this plugin can opt out of.
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**One profile per workspace.** A profile serves one AgentRQ workspace and carries its own endpoint, so name it after the workspace rather than using `default` — that is what makes [several workspaces](#multiple-workspaces) work. Your workspace's **Settings → Setup → DeepSeek Harness** page prints every command and config block below already filled in.
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Copy the workspace MCP URL from AgentRQ **Settings → Setup → DeepSeek Harness** (it already includes `?token=`), then either:
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```sh
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dsh plugin --profile agentrq-<workspace> add @agentrq/dsh-plugin-agentrq
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export AGENTRQ_WORKSPACE_MCP_URL='https://<workspace>.mcp.agentrq.com/mcp?token=<token>'
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```
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Then pin this workspace's endpoint in the profile's own patch layer, `~/.dsh/profiles/agentrq-<workspace>/cordis.patch.yml`. Copy the URL from the Settings page — it already carries the `?token=` credential that authenticates a headless client:
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or pin it in the profile patch, `~/.dsh/profiles/web/cordis.patch.yml`:
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```yaml
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- id: agentrq
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name: '@agentrq/dsh-plugin-agentrq'
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name: agentrq
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config:
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url: "https://<workspace>.mcp.agentrq.com/mcp?token=<token>"
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```
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One row, one URL: the plugin mounts `@deepseek-ai/dsh-mcp-client` itself as a child fiber, so the endpoint is configured in exactly one place and the bridge shares this row's lifetime — disposal and HMR take it along.
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dsh watches the profile patch, so an edit takes effect without a restart. Prefer the profile patch for interactive use: the environment variable is process-global.
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```sh
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dsh --profile agentrq-<workspace> --dump-config # shows the bundle layer and your override
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dsh --profile agentrq-<workspace>
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```
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The profile's patch is applied after every bundle layer, so those two rows win. dsh watches both `cordis.patch.yml` layers and reapplies valid edits transactionally, so changing the URL takes effect without a restart.
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### Configuring without a file edit
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The bundle's own patch defaults both rows to `!!js process.env.AGENTRQ_WORKSPACE_MCP_URL`, so a container or CI job can export the endpoint instead of writing a profile patch:
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```sh
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export AGENTRQ_WORKSPACE_MCP_URL='https://<workspace>.mcp.agentrq.com/mcp?token=<token>'
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dsh --profile agentrq-<workspace>
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```
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Prefer the profile patch for an interactive install: an environment variable is process-global, so with one profile per workspace you have to remember the right `export` before each start, and the wrong one connects the wrong workspace without complaint. Supply neither and the row fails to load with the `url` field named — it is a required field, not a silent default.
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Installing from a git checkout instead of the registry fetches sources rather than built artifacts, so pnpm must be allowed to run this package's `prepare` build. Add the allowance to your profile's `pnpm-workspace.yaml` and re-run the `add`:
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```yaml
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allowBuilds:
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'@agentrq/dsh-plugin-agentrq': true
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```
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That allowance is permission to execute this package's code on your machine at install time. Pin a commit (`github:agentrq/agentrq#<sha>`) if you take that route. Publishing to npm or shipping a `pnpm pack` tarball avoids the allowance entirely.
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**One profile per workspace.** A second workspace needs its own profile and its own `url`. Mounting this bundle twice in one profile collides on the `agentrq:protocol` section and the `agentrq_autopull` tool.
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## What the model gets
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@@ -72,65 +45,13 @@ Plus one tool this package owns:
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|---|---|
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| `agentrq_autopull` | `status`, `pause`, `resume`, or `pull_now` for this session's AgentRQ delivery |
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`pull_now` returns the dequeued task as its own tool result rather than queuing a turn, because a tool body runs mid-turn by definition.
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## How work arrives
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**The plugin does not poll.** AgentRQ already decides when there is work and pushes it over `notifications/claude/channel`:
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- creating a task assigned to the agent pushes it immediately (`backend/internal/handler/api/task.go`), provided nothing else is ongoing;
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- `WorkspaceServer.StartPoller` re-pushes the next unclaimed task — or a status check for the ongoing one — every 60 seconds.
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The plugin's own workspace session subscribes to that channel, exactly as [`acp-gateway`](https://github.com/agentrq/agentrq-acp-gateway) does for Gemini and other ACP agents. Polling the queue from the client would duplicate the server's own ticker and deliver every task twice.
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Each push is forwarded **as written**. A new task, the periodic reminder, a status check, and a human's reply all arrive on the same channel; the plugin adds a framing line naming the `chat_id` and the tools to answer with, then hands over the content. It does not try to classify what kind of push it is, because that would only add a way to be wrong. The content is JSON-escaped into the framing, so pushed content cannot forge a framing field.
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Delivery route depends on the agent's state: `inject()` while a turn is running, so it lands at the next step boundary, and `followup()` while idle, since nothing else would wake it. Neither interrupts a turn in flight.
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`SendChannelNotification` puts the task id in `meta.chat_id` on every push, so the id never has to be recovered from the content.
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**Repeats are dropped.** The workspace re-pushes an unclaimed task verbatim every minute; the runtime remembers recent `(task, content)` pairs, so the agent is handed it once and not woken every sixty seconds for work it already has. A genuinely new message on the same task still gets through.
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**Staying connected is the load-bearing part.** No session, no pushes — so a closed transport or an unrecoverable transport error triggers a reconnect with exponential backoff (`reconnect.initialDelayMs` doubling to `reconnect.maxDelayMs`), on top of the SDK's own SSE resumption. Because the server re-pushes on its own schedule, a recovered session catches up on the next tick without any client-side replay.
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`catchUpOnStart` dequeues one task when the session opens, so work that predates the connection does not wait for the server's next tick. A failed startup check costs latency, not work.
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`agentrq_autopull pause` stops pushes from reaching the session; the session itself stays open.
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One AgentRQ queue serves one worker, the harness Web UI creates a root agent per chat session, and pushes are broadcast to **every** connected session. Under the default `scope: single-agent`, exactly one live root agent holds the workspace session, so a second chat session does not get every task delivered a second time; a later session inherits the connection only after the owning agent is gone. Set `every-agent` when your agents work disjoint queues or you want deliberate fan-out.
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## Multiple workspaces
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AgentRQ users normally have several workspaces, each with its own queue, mission, and agent identity. **Run one profile per workspace.**
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Install once per profile, and let each profile's `cordis.patch.yml` carry its own endpoint:
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```sh
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dsh plugin --profile agentrq-acme add @agentrq/dsh-plugin-agentrq
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dsh plugin --profile agentrq-beta add @agentrq/dsh-plugin-agentrq
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# …then pin acme's URL in ~/.dsh/profiles/agentrq-acme/cordis.patch.yml
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# and beta's URL in ~/.dsh/profiles/agentrq-beta/cordis.patch.yml
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dsh --profile agentrq-acme # terminal 1
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dsh --profile agentrq-beta # terminal 2
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```
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Because the endpoint lives in the profile rather than the environment, switching workspaces is switching profiles — nothing to re-export, and no way to start one workspace's profile pointed at another's queue.
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Each profile gets its own process, sessions, working directory, and workspace connection, which matches how AgentRQ already models a workspace: one workspace, one agent, one mission. It also matches the usual case where workspaces track different repositories.
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Two consequences worth knowing:
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- **A single profile cannot serve two workspaces.** Mounting the bundle twice in one profile registers the `agentrq:protocol` prompt section and the `agentrq_autopull` tool twice in the same layer, and both registrations throw on a duplicate name. Namespacing them per instance is deferred until someone needs it.
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- **No cross-workspace view.** AgentRQ's CoreMCP supervisor (`https://mcp.agentrq.com/mcp`) does expose `listWorkspaces` and `listAllTasks`, so a deployment that wants "what is outstanding everywhere" can mount it as an extra `@deepseek-ai/dsh-mcp-client` row. It sends no channel notifications, so it complements per-workspace delivery rather than replacing it.
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`serverName` is safe to change: the guidance section and every framing derive their tool names from it, so the namespace the model sees and the namespace the prose describes cannot drift apart.
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The plugin does not poll. AgentRQ pushes work over `notifications/claude/channel`. Repeats of the same `(task, content)` pair are dropped. `agentrq_autopull pause` stops delivery; the session stays open.
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## Config
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| Key | Default | Meaning |
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|---|---|---|
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| `url` | — (required) | Workspace MCP endpoint, including its `?token=` credential |
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| `url` | `''` (idle) | Workspace MCP endpoint, including its `?token=` credential |
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| `token` | `''` | Bearer token, for deployments that prefer an `Authorization` header over `?token=` |
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| `mountBridge` | `true` | Mount the `@deepseek-ai/dsh-mcp-client` child that gives the model AgentRQ's tools |
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| `serverName` | `agentrq` | Namespace for the bridged tools; the guidance section and framings follow it |
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@@ -142,59 +63,19 @@ Two consequences worth knowing:
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| `guidance` | `true` | Contribute the AgentRQ working-agreement system-prompt section |
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| `requestTimeoutMs` | `30000` | Timeout for one AgentRQ tool call |
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Set any of these in the same profile patch. A patch replaces a row's whole `config` rather than merging into it, but every key except `url` has a schema default, so a row only restates what it changes:
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```yaml
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- id: agentrq
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name: '@agentrq/dsh-plugin-agentrq'
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config:
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url: "https://<workspace>.mcp.agentrq.com/mcp?token=<token>"
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catchUpOnStart: false
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reconnect:
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initialDelayMs: 2000
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maxDelayMs: 60000
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```
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## The prompt section
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AgentRQ's MCP server ships its collaboration rules as server `Instructions`, and the harness does not surface an MCP server's instructions to the model. Without them the model has the tools but not the contract — that the human is remote, sees only what `reply` sends, and needs the task claimed before work starts. This package contributes those rules as the `agentrq:protocol` section in the tool-guidance band (order 150), so behavior in dsh matches behavior in the Claude Code and Gemini extensions. Turn it off with `guidance: false` when a deployment states the same protocol in its own persona.
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A profile patch replaces a row's whole `config` rather than merging into it. Every key except `url` has a schema default.
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## Development
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```sh
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npm install --legacy-peer-deps # harness packages declare peers pnpm resolves from the profile
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npm install --legacy-peer-deps
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npm run typecheck
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npm test
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npm run build
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```
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`make plugin-deepseek` from the repository root runs all four.
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## Releasing
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`.github/workflows/plugin-deepseek-harness.yml` typechecks, tests, and builds this package on every pull request that touches `plugins/deepseek-harness/**`, and publishes it to npm when such a change lands on `main`.
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**Bumping `version` in `package.json` is what releases.** npm refuses to republish an existing version, so the workflow checks first and skips the publish when the current version is already on the registry — an ordinary fix that touches this path does not need a version bump to merge.
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Authentication is [npm trusted publishing](https://docs.npmjs.com/trusted-publishers): the package names `agentrq/agentrq` and this workflow file as its trusted publisher, the job requests an OIDC token with `id-token: write`, and npm exchanges it for a short-lived publish credential. There is no `NPM_TOKEN` secret to store, rotate, or leak, and npm attaches build provenance automatically.
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Two things that break it, both non-obvious:
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- **Renaming the workflow file.** The trusted-publisher record names `plugin-deepseek-harness.yml` exactly; a rename must be made on npm's side too or every publish is rejected.
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- **npm older than 11.5.1.** `setup-node` with Node 22 installs npm 10.x, which has no OIDC support and silently falls back to looking for a token. The workflow upgrades npm explicitly for this reason — do not remove that step.
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## Known limitations and deferred work
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- **One workspace per profile** — each row carries one `url`, and mounting the bundle twice in one profile collides on the prompt-section and tool names. [Several workspaces means several profiles](#multiple-workspaces).
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- **The endpoint is configured, not discovered** — there is no in-harness command to switch workspaces; the profile's `cordis.patch.yml` (watched, so no restart needed) or `AGENTRQ_WORKSPACE_MCP_URL` is the switch. A `ctx.settings` namespace would give a schema-driven editor with `role('secret')` redaction for the token, but its document is `$DSH_HOME`-global by default and so does not carry per-profile values without extra plumbing.
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- **The bridge is mounted, not injectable** — the plugin mounts one `@deepseek-ai/dsh-mcp-client` child with the settings it derives from its own config. A deployment that needs the bridge's other knobs sets `mountBridge: false` and mounts its own row, and is then responsible for keeping `serverName` aligned.
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- **Load-order boundary** — the plugin attaches only to root agents published after it loads; an agent that was already live when the plugin loaded gets no workspace session and no `agentrq_autopull` tool.
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- **Ownership does not migrate to a live agent** — under `single-agent`, when the owning agent is disposed the connection stops until the *next* root agent is created; an already-open second session does not adopt it.
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- **Session-lifetime repeat memory** — the delivered-set is process-local and bounded, so a restarted harness may be handed a task it saw before if that task is still unclaimed. Claiming a task with `updateTaskStatus` is what stops the workspace re-pushing it.
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- **Auth is the URL's credential** — the plugin does not run the AgentRQ OAuth authorization-code flow; it uses the long-lived token from Workspace Settings, as a bearer header or a `?token=` query parameter.
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- **Attachments travel through the model** — the plugin's own session only receives pushes and dequeues on request; `downloadAttachment` remains a model-facing tool call on the bridged server.
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- **Permission verdicts are not bridged** — `acp-gateway` also consumes `notifications/claude/channel/permission` to answer AgentRQ's allow/deny prompts. The harness has its own `tools/pre-execute` approval axis, and wiring the two together is deferred.
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`lib/` is the loadable entry (`package.json` `main`) and is committed so the desktop shell can copy the plugin without a runtime build.
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## License
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[Apache-2.0](./LICENSE), matching the rest of the AgentRQ repository.
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[Apache-2.0](./LICENSE), matching [agentrq/agentrq](https://github.com/agentrq/agentrq).
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