SuperLocalMemory V3.1 features an active learning engine that gets smarter with every recall — at zero token cost. No cloud LLM needed. Mathematical signals drive adaptation. The only AI memory that learns without spending tokens.
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.
Every recall generates learning signals. The system progressively adapts to your patterns.
Cross-encoder ranking. Every recall collects implicit feedback signals — co-retrieval edges, confidence boosts, channel performance data.
Heuristic boosts from learned patterns: recency, access frequency, trust score. Results noticeably improve for your common queries.
A LightGBM model trains on YOUR specific usage. Fully personalized ranking. All local — no cloud, no tokens, no cost.
