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Runtime governance, proof, outcome closure, and fleet intelligence for MCP-compatible AI agents.
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "io.github.getmarrow/marrow" MCP 服务： 执行：claude mcp add 'io-github-getmarrow-marrow' -- npx -y @getmarrow/mcp
Approval gate and audit trail for AI agent actions: policy check first, proof after. Any MCP client.
Marrow gives your agent a governance loop that compounds. With @getmarrow/mcp, any MCP-compatible client can ask Marrow before risky work, inspect live loop state during work, collect required proof, and commit outcomes when the work is done. That means your agent stops operating without accountability and starts carrying forward real decision history. Your agent stops repeating the same mistake