MSA (Memory Sparse Attention) — an open-source way to break through the AI memory bottleneck
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.