How to make your agent smart as openclaw
What I learned from OpenClaw’s memory architecture and how I built a lightweight version in OpenCode. The Problem AI coding agents are stateless. Every new session starts from zero — you re-explain your project structure, tech stack, and decisions. For ongoing projects, this is a real productivity killer. How OpenClaw Does It OpenClaw uses plain Markdown files as memory: SOUL.md — AI personality and behavior rules USER.md — User profile and preferences MEMORY.md — Curated long-term memory memory/YYYY-MM-DD.md — Daily raw session logs The key innovation is self-maintenance: the AI periodically reviews daily logs, extracts valuable info into MEMORY.md, and cleans up stale entries. Before context compaction (when sessions get too long), it triggers a silent “memory flush” to save important facts before they’re lost. ...