agentrq
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.
- Ask Claude to execute a multi-step workflow while pausing for human approval at critical decision points.
- Generate real-time task updates and status reports as Claude completes work items in sequence.
- Automate routine project tasks while maintaining human oversight of high-risk or budget-impacting decisions.
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.
https://github.com/agentrq/agentrq
By agentrq
How to Get It
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.
After installing, paste this into Claude:
Execute a multi-step workflow while pausing for human approval at critical decision points
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Show HN: Task Manager for AI Agents (MCP, Opensource) — Hacker News · 6 pts
- Show HN: Multi-agent task management for Claude and Gemini — Hacker News · 3 pts
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.
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Evaluation
Scored from trust signals (evidence-eval-v1): 994 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.