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SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database.
CRDT-based offline-first sync for SQLite. Syncs automatically with SQLite Cloud, PostgreSQL, and Supabase. No conflicts, no data loss, no backend to build. For offline-first apps and AI agents.
AI-native extension for SQLite that brings on-device inference, embedding generation, and model interaction directly into your database.
SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database.
SQLite Wasm compiled with automatically initialized sqlite-sync and sqlite-vector extensions. Conveniently packaged as an ES Module for effortless integration.
Run the full 2.78-trillion-parameter Kimi K3 model beyond available RAM by streaming activated weights directly from NVMe. A dependency-free, embeddable C inference engine.
CRDT-based offline-first sync for SQLite. Syncs automatically with SQLite Cloud, PostgreSQL, and Supabase. No conflicts, no data loss, no backend to build. For offline-first apps and AI agents.
⚠️ Moved to https://github.com/sqliteai/sqlite-sync. This fork has been merged into the official repository and is no longer maintained.
Column-oriented analytics for SQLite, designed for fast local analytical queries with benchmarked speedups of up to 130,000x over standard SQLite scans on selected workloads.
Markdown based AI agent memory with semantic search, hybrid retrieval, and offline-first sync between agents.
Create custom SQLite functions in JavaScript. Extend your database with scalars, aggregates, window functions, and collations directly in JavaScript.
Offline-first React Native library with automatic sqlite-sync powered by SQLite Cloud
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