openclaw-hermes-upgrade-kit

Install two Hermes-like capabilities into OpenClaw: a learning loop for self-improvement and Honcho-based user modeling for richer cross-session memory. Use when the user wants a packaged OpenClaw upgrade kit, a public tutorial bundle, or a one-click distribution package that combines OpenClaw Learning Loop and Honcho onboarding.

Set up Honcho as a shared memory layer for one or more AI agents, verify it is healthy, and demonstrate how to inspect user memory, agent memory, and cross-agent context. Use when the user wants a practical Honcho tutorial, local self-hosting guide, multi-agent memory sync pattern, or a quick way to connect multiple OpenAI-compatible or custom agents to a shared memory workspace.

OpenClaw 学习循环与技能提炼：用于在非显而易见的问题解决后记录 learning、复盘并晋升为 skill；用于需要检查 self-improving-agent、生成学习记录、输出 dry-run 预览或执行一键式学习闭环时。