Coding-Dev-Tools/engraphis: Local-first memory and context for AI coding agents

Engraphis is a local-first, offline-capable memory engine designed for AI coding agents that combines vector, lexical, graph, and code search to provide bounded context. The tool uses SQLite for temporal history and version tracking, and it connects to agents over the Model Context Protocol while offering optional managed Jev review decisions for paid users. Open article →