How we built a 3-layer memory architecture that bridges OpenClaw and Claude Code into a single brain — with real numbers from 33 days of operation.

Most AI agent setups have a memory problem: they either forget everything between sessions (stateless) or accumulate noise until the context window overflows. RAG helps with retrieval but doesn't build understanding. The LLM rediscovers knowledge from scratch on every query.

Karpathy's LLM Wiki proposes a compelling alternative: a persistent, compounding wiki maintained by the LLM. Great idea — but designed for a researcher browsing Obsidian. We needed something for an operational AI agent running a business with 8 stores, 20 cron jobs, 7 services, and two different AI platforms (OpenClaw + Claude Code).