SuperLocalMemory features a three-layer learning system that refines retrieval based on your usage patterns. No training. No fine-tuning. Just memory.
We use a high-dimensional vector store to find memories conceptually related to your query, even if keywords don't match.
Entities (Files, Functions, People) are extracted and linked. If you ask about "Auth", we also pull "Login.tsx" because they are linked in the graph.
Memories you "use" (copy/paste) get boosted. Memories you ignore fade away. The system optimizes itself for your workflow.
