Memorymesh

MemoryMesh is a lightweight, embeddable persistent memory layer for AI applications and LLMs, enabling cross-session, cross-tool, and cross-project contextual memory with just three lines of Python. It is designed for developers and teams who want to give any AI or LLM persistent, structured, and privacy-first memory with zero external dependencies, running fully local on SQLite. With a simple API, framework-agnostic integration, pluggable embeddings, and optional encrypted storage, it solves the problem of stateless AI by remembering preferences, decisions, and patterns across sessions and tools — without cloud lock-in or data leaving your device.