DashClaw

by ucsandman · MCP Server · ★ 308

About DashClaw

DashClaw Govern AI agents before they act. DashClaw is the governance layer for AI agents that touch real systems. It sits between agents and the world, evaluates policy on every risky action, routes human approval where it is required, records verifiable evidence, and tracks terminal outcomes so a retried agent never silently double-executes.

agent-frameworkagent-governanceagent-runtimeai-agentsai-governanceai-infrastructureai-opsautogenclaude-codecrew-ai

Quick Facts

Stars308
Forks53
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score36.25/100
Open Issues7
Last Updated2026-09-30
Created2026-02-08
Platformsnode
Est. Tokens~2089k

Compatible Skills

These tools work well together with DashClaw for enhanced workflows:

  • agent-infra — semantic(0.19)+complementary+same_lang+similar_pop (47%)
  • Network-AI — semantic(0.21)+complementary+rare_topics+similar_pop (46%)
  • markus — semantic(0.20)+complementary+rare_topics+similar_pop (46%)

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Frequently Asked Questions

What is DashClaw?

DashClaw is Remote approvals, policy checks, and execution evidence for unattended AI agents.. It is categorized as a MCP Server with 308 GitHub stars.

What programming language is DashClaw written in?

DashClaw is primarily written in TypeScript. It covers topics such as agent-framework, agent-governance, agent-runtime.

How do I install or use DashClaw?

You can find installation instructions and usage details in the DashClaw GitHub repository at github.com/ucsandman/DashClaw. The project has 308 stars and 53 forks, indicating an active community.

What license does DashClaw use?

DashClaw is released under the MIT license, making it free to use and modify according to the license terms.

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