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GeezerVison is showing www.sqlite.ai — SQLite AI - Smart Edge Databases with Cloud Sync and Intelligence

SQLite, everywhere

From Edge to Cloud.

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

Start Free

Try Sync Demo

Devices
Browsers
Robots
AI agents
Cloud systems

Edge

SQLite

Cloud

Sync

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

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

-- sync when ready
SELECT cloudsync_network_init('managed-db-id');
SELECT cloudsync_network_sync();

Zero latency UX

Writes happen locally first.

Offline reliability

Work continues without a connection.

Central truth

Cloud coordinates and analyzes.

Modern applications do not live in one place anymore.

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

SQLite AI architecture connecting local data, AI, sync, and cloud

Product

Run local. Sync global.

SQLite Sync

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

Explore Sync

SQLite Cloud

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

Explore Cloud

SQLite Extensions

Add AI inference, vector search, agent memory, MCP tools, and JavaScript functions directly inside SQLite.

See Extensions

Use cases

One SQLite architecture for many runtimes.

Offline-first apps

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

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

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

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

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 offline-first replica, and the interface to a coordinated backend.

Local decisions

Put reads, writes, vectors, and memory next to the user or device.

Offline autonomy

Keep the product useful when networks are slow, weak, or gone.

Private edge AI

Run intelligence where sensitive data already lives.

Cloud coordination

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 extensions, then instantly scale to production infrastructure with Sync and Cloud

View Pricing

SQLite-Sync

Offline-first CRDT sync for local SQLite databases.

SQLite-AI

On-device model interaction and embedding generation.

SQLite-Agent

Autonomous AI agents that run from SQLite.

SQLite-Vector

Fast vector search in ordinary SQLite tables.

SQLite-Columnar

Column-oriented analytics in local SQLite databases.

SQLite-Memory

Markdown-based memory with semantic search for agents.

SQLite-MCP

Call MCP tools from SQLite queries.

SQLite-JS

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 file-based workflow.

Not just a sync SDK.

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

Not a forced migration.

Start with SQLite Cloud, or keep PostgreSQL and Supabase as the 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 SQLite become a distributed application runtime.

Start Free

Read Docs

.load ./cloudsync

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

SELECT cloudsync_init('tasks');
SELECT cloudsync_network_sync();

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