agentrq

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support.

Ecosystem pluginAI ModelsDesktopAutomationWeb search

Verification

L5 · Ecosystem plugin

Risk

Low

Health

Active

Trust

Silver

Install verification: Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — the L1-L5 install ladder does not rate it; the security scan still runs.Install verification details →

What it doesAI

Human-in-loop realtime conversational task manager for AI agents using MCP.

Human-AI collaboration platform
Uses Model Context Protocol (MCP)
Task management for AI agents

aiAI

Capability tags are AI-inferred or rule-extracted from the README (see badge) — vocabulary-limited, not install-verified. AI = inferred; README = literal keyword from the readme.

Installation

dsh plugin --profile web add github:agentrq/agentrq#v0.9.2

security scan passed · source release v0.9.2

Install method: GitHub · runtime test inconclusive (L5 unknown)

Verification & Compatibility

Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.

External credentials (plugin-level): none detected

Install compatibility matrix (rows = plugin versions〔latest 5〕, columns = dsh versions〔latest 5〕)

At-a-glance → evidence in the cards below

plugin ＼ dsh	dsh 0.1.7-rc.2 current	dsh 0.1.7-rc.1	dsh 0.1.6-alpha.2	dsh 0.1.6-alpha.1	dsh 0.1.5-rc.2
v0.9.1	·	·	·	·	·
v0.8.2	·	·	·	·	·
v0.8.1	·	·	·	·	·
v0.8.0	○	·	·	·	·
v0.7.7	·	·	·	·	·

Install compatibility (by plugin version, dsh versions within)

Legend:✓ L5 runtime verified○ ecosystem plugin◼ ecosystem app✗ failed

v0.9.1github2026-09-28

https://github.com/agentrq/agentrq

Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — its level reads L5 · Ecosystem plugin.

v0.8.2github2026-09-27

https://github.com/agentrq/agentrq

Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — its level reads L5 · Ecosystem plugin.

v0.8.1github2026-09-26

https://github.com/agentrq/agentrq

Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — its level reads L5 · Ecosystem plugin.

v0.8.0github2026-09-25

https://github.com/agentrq/agentrq

○dsh 0.1.7-rc.2current2026-09-25ecosystem plugin

Environment & artifact

• Node.js: v24.14.0
• DSH: 0.1.7-rc.2
• Plugin artifact: github · https://github.com/agentrq/agentrq#v0.8.0

Levels (L1–L3 plugin-level static archive · L4/L5 newest real verdicts for this combination)

L1 static

Passed

L2 static

Passed

L3 static

Passed

L4 sandbox

Passed

L5 runtime

Unknown

Install test ran: the package installs but declares no dsh.bundle and mounts no capability — an ecosystem plugin, not a usable dsh plugin (shown as L5 · ecosystem plugin)

ecosystem plugin

ID: agentrq@v0.8.0@dsh0.1.7-rc.2 · profile: l4-sandbox

Issued: 2026-09-25 · expires: 2026-10-02

View checks & evidence

L1 · Found✓ Passed

Defaulted from L3L1.0_DEFAULTED_FROM_L3✓ Passed

defaulted to passed — L3 install spec passed (full-registry L3 sweep policy)

L2 · Structured✓ Passed

Defaulted from L3L2.0_DEFAULTED_FROM_L3✓ Passed

defaulted to passed — L3 install spec passed (full-registry L3 sweep policy)

L3 · Install spec✓ Passed

Install command parsedL3.1_INSTALL_COMMAND_PARSED✓ Passed

Source: registry verification · Method: install spec parse · Captured 2026-09-28

DSH version declaredL3.2_DSH_VERSION_DECLARED✓ Passed

Source: registry verification · Method: DSH version declaration · Captured 2026-09-28

L4 · Install tested✓ Passed

Install executed in confined sandboxL4.1_INSTALL_EXECUTED_CONFINED✓ Passed

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-09-25

spec github:agentrq/agentrq#v0.8.0 · channel GitHub source · outcome ran · exit 0

check took: 3.2s

Install succeededL4.2_INSTALL_SUCCESS✓ Passed

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-09-25

spec github:agentrq/agentrq#v0.8.0 · channel GitHub source · outcome ran · exit 0

check took: 3.2s

Installed artifact confirmedL4.3_ARTIFACT_CONFIRMED✓ Passed

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-09-25

spec github:agentrq/agentrq#v0.8.0 · channel GitHub source · outcome ran · exit 0

check took: 3.2s

L5 · Run tested? Unknown

not present in web-profile loader inventory

Sandbox install passedL5.1_INSTALL_PASSED_SANDBOXED✓ Passed

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-09-25

spec github:agentrq/agentrq#v0.8.0 · install mode reused L4 scratch

check took: 12ms

Web boot readyL5.2_WEB_BOOT_READY✓ Passed

Source: DSH runtime · Method: web boot · Captured 2026-09-25

ready line dsh web: http://127.0.0.1:63180/?token=…

HTTP endpoint servedL5.3_HTTP_SERVED✓ Passed

Source: DSH runtime · Method: HTTP request · Captured 2026-09-25

path / · HTTP 200 · took 12ms

Plugin active in inventoryL5.4_PLUGIN_INVENTORY_ACTIVE? Unknown

Source: DSH runtime · Method: plugin inventory query · Captured 2026-09-25

verdict not-found · entries 149

phases: active 121 · null 28

not present in web-profile loader inventory

L1–L3 are plugin-level static conclusions (baseline, identical across dsh versions): evidence is stored once per plugin.

v0.7.7github2026-09-23

https://github.com/agentrq/agentrq

Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — its level reads L5 · Ecosystem plugin.

Only the latest 3 published versions are shown; source-snapshot (commit hash) groups, unstated groups and older versions are omitted — the full archive stays in the data layer (snapshot/unstated groups appear only when a plugin has no published version).

Author badges

Embed the official badges in your README to showcase security & install-test status:

Security Report

Automated static scan, not manual review.

DSH.SO VETPASSEDc8b756

Security reviewAutomated review · daily

PASSED

Vet static analysis found no suspicious behavior — verdict is clean.

0 critical·0 high·0 medium

Version binding

plugin version—

scanned versionv0.9.2git2026-09-28

current versionv0.9.2same version

vet verdictclean · git

Vet is an AST static scan (npm artifact or git source).

Disclaimer: automated static analysis, not a security guarantee. Always review what you install.

Risk details

No critical or warning findings.

Activity

Last commit 2026-09-28 · activity: Active

• Repo created: 2026-03-24

• Stars: ★ 1,133 · Forks: 82

• Health: Active — committed within last 30 days

Source

GitHub: github.com/agentrq/agentrq

Plugin notes

What is agentrq?

agentrq is an ecosystem plugin maintained by @agentrq: it installs via dsh plugin add but declares no dsh.bundle and mounts nothing — installing it adds no plugin capability; use the source repository directly. It is cataloged on dsh.so as a AI Models entry, with a public source repository and automated static security scan.

How do I install agentrq?

This is an ecosystem plugin: it installs via dsh plugin add but declares no dsh.bundle and mounts nothing — installing one adds no plugin capability; use the source repository directly. Its level reads L5 · Ecosystem plugin; the security scan still runs.

How does the security scan relate to a manual audit?

The scan is automated static analysis of the repository source — a scalable first line of defense that can produce false positives and miss context; it is not a manual security audit. Before using a plugin, review the repository and installed permissions, and combine the scan with the verification level (L4/L5) and health signals.

"DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis."
— DeepSeek Harness README

Sources: GitHub repository · DeepSeek Harness README · security scan data · Maintained by dsh.so · Last updated 2026-09-28

agentrq

What it doesAI

Installation

Verification & Compatibility

Author badges

Security Report

Risk details

Activity

Source

Author README