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agentrq

Skill Productivity Solid
Works inClaude Code
Solid Scanned — metadata only

Enables real-time oversight and intervention in AI agent workflows, reducing execution errors and compliance risks while maintaining automation benefits with…

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents.

994 starsApache-2.0 (commercial OK)FreeQuick setup

Enables real-time oversight and intervention in AI agent workflows, reducing execution errors and compliance risks while maintaining automation benefits without requiring constant manual supervision.

Teams deploying autonomous agents in regulated or high-stakes domains needing human validation gates within agent execution loops.

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https://github.com/agentrq/agentrq

By agentrq

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install agentrq/agentrq

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Execute a multi-step workflow while pausing for human approval at critical decision points
CostFree

Trust Signals Auto-scanned

Stars994Last updated2026-07-06LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-06 · scanner v1

Community Pulse Growing

Discussed on Hacker News

2 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 994 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 994 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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