What is amw-memory-operator?
使用 replay-first 浏览器记忆方式运行与演进 agent-memory-workbench;适用于轨迹检索、探测/调试、trace 复盘与最小化 JSON 修补(仅允许两条执行分支:normal 主流程 + challenge-handling 阻断处理)。 Source: insogao/amw.
使用 replay-first 浏览器记忆方式运行与演进 agent-memory-workbench;适用于轨迹检索、探测/调试、trace 复盘与最小化 JSON 修补(仅允许两条执行分支:normal 主流程 + challenge-handling 阻断处理)。
Quickly install amw-memory-operator AI skill to your development environment via command line
Source: insogao/amw.
if (!(Test-Path ./agent-memory-workbench/package.json)) { git clone https://github.com/insogao/amw.git agent-memory-workbench }
AMW ACK: I will use AMW-native actions first, keep runtime JSON in trajectories/tmp, and use external scripts only with explicit approval or missing native action.
使用 replay-first 浏览器记忆方式运行与演进 agent-memory-workbench;适用于轨迹检索、探测/调试、trace 复盘与最小化 JSON 修补(仅允许两条执行分支:normal 主流程 + challenge-handling 阻断处理)。 Source: insogao/amw.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/insogao/amw --skill amw-memory-operator Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Stable fields and commands for AI/search citations.
npx skills add https://github.com/insogao/amw --skill amw-memory-operator使用 replay-first 浏览器记忆方式运行与演进 agent-memory-workbench;适用于轨迹检索、探测/调试、trace 复盘与最小化 JSON 修补(仅允许两条执行分支:normal 主流程 + challenge-handling 阻断处理)。 Source: insogao/amw.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/insogao/amw --skill amw-memory-operator Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/insogao/amw