SQLite AI - Smart Edge Databases with Cloud Sync and Intelligence

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SQLite, everywhere

From Edge to Cloud.

Run SQLite where your data<br>is created: on devices, in browsers, on robots, inside agents, and across<br>distributed systems. Sync with<br>SQLite Cloud ,<br>PostgreSQL , or<br>Supabase when the network<br>is ready.

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Try Sync Demo<br>Devices<br>Browsers<br>Robots<br>AI agents<br>Cloud systems

Edge<br>SQLite

Cloud<br>Sync

-- local SQLite, offline-first<br>SELECT cloudsync_init('tasks');

INSERT INTO tasks<br>VALUES (cloudsync_uuid(), 'inspect site', 0);

-- sync when ready<br>SELECT cloudsync_network_init('managed-db-id');<br>SELECT cloudsync_network_sync();<br>Zero latency UX<br>Writes happen locally first.

Offline reliability<br>Work continues without a connection.

Central truth<br>Cloud coordinates and analyzes.

Modern applications do not live in one place anymore.

They need local decisions, offline autonomy, and a central source of<br>truth. SQLite AI turns SQLite into the common data layer across edge<br>devices, AI systems, and cloud infrastructure.

Product

Run local. Sync global.

SQLite Sync<br>Turn local SQLite databases into conflict-free replicas. Write locally, keep working offline, and sync with SQLite Cloud, PostgreSQL, or Supabase.<br>Explore Sync

SQLite Cloud<br>Use a fully SQLite-native backend for coordination, analytics, APIs, access control, backups, and multi-region scale.<br>Explore Cloud

SQLite Extensions<br>Add AI inference, vector search, agent memory, MCP tools, and JavaScript functions directly inside SQLite.<br>See Extensions

Use cases

One SQLite architecture for many runtimes.

Offline-first apps<br>Field teams, mobile apps, POS systems, and local-first SaaS keep working with zero perceived latency.

Local writes

Automatic sync

Conflict resolution

AI agents with memory<br>Give every agent a local SQLite database for notes, state, embeddings, and task memory that can sync across workers.

Queryable memory

Shared knowledge

Local autonomy

Private edge AI<br>Run inference, embeddings, and vector search where data already lives, then sync only what coordination requires.

On-device RAG

Private by design

Low latency

Robotics and IoT<br>Make local decisions from sensor data, survive weak networks, and sync telemetry back to the source of truth.

Edge decisions

Offline resilience

Fleet state

Postgres and Supabase teams<br>Keep your central system and add SQLite at the edge. Sync the local data each user, device, or agent needs.

Bring your backend

SQLite on the client

Central truth

Architecture

One SQLite layer across edge, AI, and cloud.

The same embedded database can be local memory, an AI runtime, an<br>offline-first replica, and the interface to a coordinated backend.

Local decisions<br>Put reads, writes, vectors, and memory next to the user or device.

Offline autonomy<br>Keep the product useful when networks are slow, weak, or gone.

Private edge AI<br>Run intelligence where sensitive data already lives.

Cloud coordination<br>Sync the state that needs sharing, analytics, and governance.

Ecosystem

SQLite becomes the runtime for intelligent data.

Build powerful, intelligent applications locally using our suite of<br>extensions, then instantly scale to production infrastructure with<br>Sync and Cloud

View Pricing

SQLite-Sync<br>Offline-first CRDT sync for local SQLite databases.

SQLite-AI<br>On-device model interaction and embedding generation.

SQLite-Agent<br>Autonomous AI agents that run from SQLite.

SQLite-Vector<br>Fast vector search in ordinary SQLite tables.

SQLite-Columnar<br>Column-oriented analytics in local SQLite databases.

SQLite-Memory<br>Markdown-based memory with semantic search for agents.

SQLite-MCP<br>Call MCP tools from SQLite queries.

SQLite-JS<br>Custom SQLite functions in JavaScript.

Why SQLite AI

Designed to fit your architecture, not replace it.

Not another database.

Extend real SQLite and keep its simplicity, portability, and local<br>file-based workflow.

Not just a sync SDK.

Use CRDT sync, server-enforced access control, a managed SQLite<br>cloud backend, and production observability.

Not a forced migration.

Start with SQLite Cloud, or keep PostgreSQL and Supabase as the<br>central system of record.

Start building

Try the path users can feel immediately.

Create a cloud project, enable sync on one table, and watch local<br>SQLite become a distributed application runtime.

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Read Docs

.load ./cloudsync

CREATE TABLE tasks (<br>id TEXT PRIMARY KEY,<br>title TEXT NOT NULL,<br>done INTEGER NOT NULL DEFAULT 0<br>);

SELECT cloudsync_init('tasks');<br>SELECT cloudsync_network_sync();

Products<br>Cloud<br>SQLite-AI<br>SQLite-Agent<br>SQLite-JS<br>SQLite-Sync<br>SQLite-Vector<br>SQLite-Columnar<br>SQLite-Memory<br>SQLite-MCP

Documentation<br>Index<br>AI<br>Cloud<br>Platform<br>SQLite<br>Changelog

Projects<br>Vectors Space<br>SQLite News<br>LiteParser<br>Adam Agent

Company<br>Blog<br>Contact Us<br>Open Source (AI)<br>Open Source (Cloud)

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