by ucsandman · MCP Server · ★ 284
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.
| Stars | 284 |
| Forks | 50 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.3612813500721/100 |
| Open Issues | 14 |
| Last Updated | 2026-07-08 |
| Created | 2026-02-08 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~20k |
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DashClaw is 🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.. It is categorized as a MCP Server with 284 GitHub stars.
DashClaw is primarily written in TypeScript. It covers topics such as agent-framework, agent-governance, agent-runtime.
You can find installation instructions and usage details in the DashClaw GitHub repository at github.com/ucsandman/DashClaw. The project has 284 stars and 50 forks, indicating an active community.
DashClaw is released under the MIT license, making it free to use and modify according to the license terms.