DashClaw

by ucsandman · TypeScript · ★ 278

🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.

#agent-framework#agent-governance#agent-runtime#ai-agents#ai-governance#ai-infrastructure#ai-ops#autogen#claude-code#crew-ai#decision-engine#developer-tools#hermes#langchain#mcp#mcp-server#model-context-protocol#openclaw

Install

npx -y github:ucsandman/DashClaw

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "dashclaw": {
      "command": "npx",
      "args": [
        "-y",
        "github:ucsandman/DashClaw"
      ]
    }
  }
}

From the README

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. Plugs into the agents you already run: Claude Code, Codex, Hermes Agent, OpenClaw, Claude Desktop, and Claude Managed Agents. Framework integrations for LangChain, CrewAI, AutoGen, LangGraph, and OpenAI Agents SDK. Any other…

Read full README on GitHub →

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