DashClaw
Reduces compliance risk and operational exposure by enforcing policies at the point of agent action execution, ensuring unauthorized or risky decisions are b…
🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.
- Ask Claude to execute a sensitive database query while DashClaw requires manual approval first.
- Enforce company security policies by blocking unauthorized API calls made by AI agents.
- Generate audit logs documenting every decision and action taken by AI systems for compliance.
Reduces compliance risk and operational exposure by enforcing policies at the point of agent action execution, ensuring unauthorized or risky decisions are blocked before they impact systems or data.
Engineering teams deploying AI agents in regulated industries requiring audit trails and approval workflows for agent-initiated actions.
https://github.com/ucsandman/DashClaw
By ucsandman
How to Get It
npx dashclaw-demo
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Execute a sensitive database query while DashClaw requires manual approval first
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Show HN: DashClaw – intercept and audit AI agent decisions before they execute — Hacker News · 2 pts
- DashClaw: Open-Source Dashboard and Toolkit for Agents — Hacker News · 2 pts
- Show HN: DashClaw – Intercept AI agent actions before they execute — Hacker News · 1 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 276 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
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
Scored from trust signals (evidence-eval-v1): 276 GitHub stars; contributors unknown; last commit 1d ago; license MIT.