Engrim - Universal local-first SQLite memory engine for AI CLIs
Show HN: Engrim – A universal, local-first SQLite memory engine for AI CLIs
Engrim is a local-first, project-scoped SQLite memory engine that gives AI coding agents a persistent, cross-model episodic memory. It enables seamless switching between Google Antigravity, Claude Code, Cursor, and Windsurf on the same project without losing context or architectural decisions. By consolidating key decisions and state into a compact, curated memory pack, Engrim dramatically reduces token usage and eliminates context amnesia. It features hybrid retrieval (BM25 + vector embeddings), agent provenance tracking, and a hardened MCP server, all while keeping data 100% local and private.
Why pay for 200,000 tokens of forgotten noise on every turn? The models are disposable utilities; your project's decisions are not.