ucsandman/DashClaw
by Various
Remote approvals, policy checks, and execution evidence for unattended AI agents.
MCP
ucsandman/DashClaw
Added 16 Sept 2026
Overview
DashClaw provides remote approvals, policy checks, and execution evidence for unattended AI agents. It is written in TypeScript and targets developers building autonomous agent workflows.
Best for
Best for
Developers building AI agents that need human-in-the-loop oversight.
Use cases
- Gate AI agent actions with remote human approval
- Enforce policy checks before agent execution
- Collect execution evidence for auditing agent runs
How to use
Install
npx dashclaw up # no account, first caught action in minutesTools exposed
lost_confirmation
Clients listed in this record (not verified here)
Claude Desktop, Claude Code
Notes
305 stars on GitHub. Last updated 2026-09-15. Licensed MIT.
Pros
- Covers approval, policy, and audit needs in one tool
- TypeScript codebase fits JS/TS developer ecosystems
- Open source with 305 GitHub stars
Cons
- Requires self-hosting and integration effort
- Community-maintained, no commercial support
- Focused narrowly on unattended agent scenarios
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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