Instead of bolting on retrieval, MSA embeds memory directly into the attention mechanism itself. That gives you end-to-end long-term memory and breaks past the accuracy ceiling of traditional RAG and the compute-cost bottleneck of the context window.

Use an LLM to build a persistent wiki instead of traditional RAG, so knowledge is compiled at ingestion time rather than re-derived at query time. Three-layer architecture: Raw Sources (immutable) → Wiki (LLM-maintained) → Schema (CLAUDE.md/AGENTS.md)