Inside Engrim: How SQLite and RRF Escape the Token Tax in Cross-Model AI Workflows

Engrim has launched a local-first, project-scoped SQLite episodic memory standard that bridges Google Antigravity, Claude Code, and Cursor without cloud lock-in, compressing thousands of interaction tokens into a thin working context to escape token costs in cross-model AI workflows. The system blends FTS5 keyword search with model2vec static embeddings to address attention dilution and multiplicative token costs as context windows grow into the millions.