superlocalmemory

SuperLocalMemory V3 is a local-first AI agent memory system that uses mathematical techniques (differential geometry, algebraic topology, stochastic analysis) to replace cloud LLM dependency. It offers three operating modes, achieves high benchmark scores, and is EU AI Act compliant.

superlocalmemory sits in the RAG / Knowledge Base category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward 5-channel hybrid retrieval (Semantic, BM25, Entity Graph, Temporal, Hopfield). A representative use case is IDE integration (Claude Code, Cursor, Windsurf). The listed license is AGPL-3.0. GitHub stars are currently 254. Relevant tags include agent-memory, agent-reliability.