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Engrim introduces local SQLite memory engine for artificial intelligence command-line tools

A local-first memory tool for AI command-line interfaces was released, according to Hacker News.

The short version

  • Engrim was announced as a local-first, project-scoped SQLite memory engine built for AI CLIs.[Hacker News]
  • The tool pairs SQLite FTS5 keyword search with model2vec static vector embeddings for retrieval.[Hacker News]
  • Developer claims cite testing across 105 continuous sessions with zero reported regressions or context amnesia.[Hacker News]
  • All records are kept locally at ~/.engrim/memory.db without telemetry or cloud synchronization.[Hacker News]

Key facts

  • Engrim operates as a project-scoped, local-first SQLite memory engine for AI CLIs.[Hacker News]
  • The retrieval system blends SQLite FTS5 lexical search alongside model2vec static vector embeddings.[Hacker News]
  • Storage is confined to a local database at ~/.engrim/memory.db with no cloud sync or tracking.[Hacker News]

What remains uncertain

  • The reported results of zero context amnesia and zero regressions over 105 sessions rely entirely on self-reported developer testing.[Hacker News]

Sources

Outlet counts describe coverage, not independent confirmation. Reports may share a wire service or original source.