Engraphis – Local-first, bi-temporal memory for AI coding agents

Engraphis is a local-first memory system for AI agents that stores scoped project knowledge in SQLite, retrieves evidence across vector, lexical, graph, and code search, and returns bounded context with inspectable sources. It preserves temporal history rather than silently replacing facts, and grounded recall cites retrieved memories or abstains when evidence is weak. It installs via pip (Python 3.10+ for the full app, 3.9+ for the NumPy-only core), runs offline without a cloud account or API key, and connects to coding agents over MCP.