adhdev
Centralizes visibility and control over multiple AI coding agents, reducing context-switching overhead and enabling teams to monitor agent behavior, catch erβ¦
𦦠ADHDev β Agent Dashboard Hub. Monitor & control AI coding agents from a single dashboard. Self-hosted, open-source.
- Monitor multiple AI coding agents and their task progress from one central interface
- Control and pause AI agents during code generation to review outputs before continuing
- Track resource usage and performance metrics across all active coding agents in real-time
Centralizes visibility and control over multiple AI coding agents, reducing context-switching overhead and enabling teams to monitor agent behavior, catch errors, and maintain guardrails at scale without external dependencies.
Engineering teams deploying multiple AI coding agents who need unified monitoring and need to self-host for compliance or data sovereignty reasons.
https://github.com/vilmire/adhdev
By vilmire
How to Get It
claude plugins install vilmire/adhdev
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:
Help me monitor multiple AI coding agents and their task progress from one central interface
Trust Signals Auto-scanned
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good β it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 85 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.
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.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying β
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
Scored from trust signals (evidence-eval-v1): 85 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.