Introduction to SQLite-Sync

sqlite-sync coverage

SQLite Sync is a multi-platform extension that turns any SQLite database into a conflict-free, offline-first replica that syncs automatically with SQLite Cloud nodes, PostgreSQL servers, and Supabase instances. One function call is all it takes: no backend to build, no sync protocol to implement.

Installed by default in SQLite Cloud GitHub: https://github.com/sqliteai/sqlite-sync

Built on CRDT (Conflict-free Replicated Data Types), it guarantees:

  • No data loss. Devices update independently, even offline, and all changes merge automatically.
  • No conflicts. Deterministic merge, no manual conflict resolution, ever.
  • No extra infrastructure. A globally distributed network of CloudSync microservices handles routing, packaging, and delivery of changes between SQLite and other DBMS nodes.

Why SQLite Sync?

For offline-first apps (mobile, desktop, IoT, edge): devices work with a local SQLite database and sync when connectivity is available. Changes queue locally and merge seamlessly on reconnect.

For AI agents: agents that maintain memory, notes, or shared state in SQLite can sync across instances without coordination. Block-Level LWW was specifically designed to keep markdown files in sync: multiple agents editing different sections of the same document preserve all changes after sync.

What Can You Build with SQLite Sync?

Offline-First Apps

  • Shared To-Do Lists: users independently update tasks and sync effortlessly.
  • Note-Taking Apps: real-time collaboration with offline editing.
  • Field Data Collection: for remote inspections, agriculture, or surveys.
  • Point-of-Sale Systems: offline-first retail solutions with synced inventory.

AI Agent Sync

  • Agent Memory: multiple agents share and update a common SQLite database, syncing state across instances without coordination.
  • Markdown Knowledge Bases: agents independently edit different sections of shared markdown documents, with Block-Level LWW preserving all changes.
  • Distributed Pipelines: agents running on different nodes accumulate results locally and merge them into a single consistent dataset.

Enterprise and Multi-Tenant

  • CRM Systems: sync leads and clients per user with row-level access control.
  • SaaS Platforms: row-level access for each user or team using a single shared database.
  • Project Management Tools: offline-friendly planning and task management.

Personal Apps

  • Journaling and Diaries: private entries that sync across devices.
  • Habit Trackers: sync progress with data security and consistency.
  • Bookmarks and Reading Lists: personal or collaborative content management.

Key Features

FeatureDescription
CRDT-based syncCausal-Length Set, Delete-Wins, Add-Wins, and Grow-Only Set algorithms
Block-Level LWWLine-level merge for text/markdown columns, concurrent edits to different lines are preserved
Built-in networkingEmbedded network layer (libcurl or native), single function call to sync
Row-Level SecurityServer-enforced RLS: each client syncs only the rows it is authorized to see
Multi-platformLinux, macOS, Windows, iOS, Android, WASM