LeanGraph

A lightweight, embeddable graph database with full Cypher query support, powered by SQLite.

100% openCypher TCK Compliance — LeanGraph passes all 2,684 test scenarios from the openCypher Technology Compatibility Kit (Neo4j 3.5 baseline). Every Cypher feature that Neo4j 3.5 supports, LeanGraph supports.

Why LeanGraph?

Feature	LeanGraph	Neo4j
Startup time	Instant	30+ seconds
Memory	~50MB	1GB+ minimum
Deployment	Single npm package	JVM + complex setup
Docker required	No	Typically yes
Works offline	Yes	Server required
Backup	Copy the SQLite file	Enterprise license
Cypher support	Full (Neo4j 3.5 parity)	Full
Cost	Free, MIT license	Free tier limited

LeanGraph is ideal for:

• Production graph workloads with zero infrastructure
• Neo4j-level queries without Neo4j-level complexity
• Self-hosted apps where simplicity is a feature
• Instant local databases for development and testing

Installation

npm install leangraph
npm install -D better-sqlite3

better-sqlite3 is only needed for local and test modes. Production deployments using remote mode don't require it, keeping your node_modules lean and avoiding native rebuilds.

Quick Start

import { LeanGraph } from 'leangraph';

const db = await LeanGraph({ project: 'myapp' });

// Create nodes and relationships
await db.execute(`
  CREATE (alice:User {name: 'Alice'})-[:FOLLOWS]->(bob:User {name: 'Bob'})
`);

// Query the graph
const users = await db.query('MATCH (u:User) RETURN u.name AS name');
console.log(users); // [{ name: 'Alice' }, { name: 'Bob' }]

db.close();

Modes

Mode	LEANGRAPH_MODE	Behavior
Local	unset or local	Embedded SQLite at ./data/{project}.db
Remote	remote	HTTP connection to LeanGraph server
Test	test	In-memory SQLite (resets on restart)

Local Mode (default)

Uses an embedded SQLite database. No server required.

const db = await LeanGraph({ project: 'myapp' });
// Data persists at ./data/myapp.db

Remote Mode

Your code can stay identical for local development and production. Just configure environment variables:

.env

LEANGRAPH_MODE=remote
LEANGRAPH_API_KEY=lg_xxx

// Same code works locally (dev) and remotely (production)
const db = await LeanGraph({ project: 'myapp' });

When LEANGRAPH_MODE=remote is set, LeanGraph automatically connects via HTTP instead of embedded LeanGraph.

Tip: Remote mode doesn't use better-sqlite3, so installing it as a dev dependency speeds up production deploys by skipping native module compilation.

Test Mode

Uses an in-memory SQLite database that resets when the process exits.

const db = await LeanGraph({ mode: 'test', project: 'myapp' });

Configuration

interface LeanGraphOptions {
  mode?: "local" | "remote" | "test";
  project?: string;
  url?: string;
  apiKey?: string;
  dataPath?: string;
}

Option	Environment Variable	Default	Description
mode	LEANGRAPH_MODE	"local"	local, remote, or test
project	LEANGRAPH_PROJECT	—	Project name (required)
url	LEANGRAPH_URL	"https://leangraph.io"	Server URL (remote mode)
apiKey	LEANGRAPH_API_KEY	—	API key (remote mode)
dataPath	LEANGRAPH_DATA_PATH	"./data"	Data directory (local mode)

Options passed to LeanGraph() take precedence over environment variables.

API Reference

LeanGraph(options): Promise<LeanGraphClient>

Create a new LeanGraph client. Returns a promise that resolves to a client instance.

db.query<T>(cypher, params?): Promise<T[]>

Execute a Cypher query and return results as an array.

const users = await db.query<{ name: string; age: number }>(
  'MATCH (u:User) WHERE u.age > $minAge RETURN u.name AS name, u.age AS age',
  { minAge: 21 }
);
// users = [{ name: 'Alice', age: 25 }, { name: 'Bob', age: 30 }]

db.execute(cypher, params?): Promise<void>

Execute a mutating query (CREATE, SET, DELETE, MERGE) without expecting return data.

await db.execute('CREATE (n:User {name: $name, email: $email})', {
  name: 'Alice',
  email: 'alice@example.com'
});

db.queryRaw<T>(cypher, params?): Promise<QueryResponse<T>>

Execute a query and return the full response including metadata.

const response = await db.queryRaw('MATCH (n) RETURN n LIMIT 10');
console.log(response.meta.count);   // Number of rows
console.log(response.meta.time_ms); // Query execution time in ms
console.log(response.data);         // Array of results

Convenience Methods

Thin wrappers around common Cypher operations:

db.createNode(label, properties?): Promise<string>
db.getNode(label, filter): Promise<Record<string, unknown> | null>
db.updateNode(id, properties): Promise<void>
db.deleteNode(id): Promise<void>
db.createEdge(sourceId, type, targetId, properties?): Promise<void>

db.health(): Promise<{ status: string; timestamp: string }>

Check server health. In development mode, always returns { status: 'ok', ... }.

db.close(): void

Close the client and release resources. Always call this when done.

const db = await LeanGraph({ ... });
try {
  // ... use db
} finally {
  db.close();
}

Common Patterns

CRUD Operations

// Create
await db.execute(
  'CREATE (u:User {name: $name, email: $email})',
  { name: 'Alice', email: 'alice@example.com' }
);

// Read
const [user] = await db.query<{ name: string; email: string }>(
  'MATCH (u:User {email: $email}) RETURN u.name AS name, u.email AS email',
  { email: 'alice@example.com' }
);

// Update
await db.execute(
  'MATCH (u:User {email: $email}) SET u.verified = true',
  { email: 'alice@example.com' }
);

// Delete
await db.execute(
  'MATCH (u:User {email: $email}) DETACH DELETE u',
  { email: 'alice@example.com' }
);

Parameterized Queries

Always use parameters for user input:

// Good - parameterized
const users = await db.query(
  'MATCH (u:User) WHERE u.email = $email RETURN u',
  { email: userInput }
);

// Bad - string interpolation (injection risk)
const users = await db.query(`MATCH (u:User) WHERE u.email = '${userInput}' RETURN u`);

Typed Results

interface User {
  name: string;
  email: string;
}

const users = await db.query<User>(
  'MATCH (u:User) RETURN u.name AS name, u.email AS email'
);

users[0].name;  // TypeScript knows this is string

Relationships

// Create a relationship
await db.execute(`
  MATCH (a:User {name: $from}), (b:User {name: $to})
  CREATE (a)-[:FOLLOWS {since: $since}]->(b)
`, { from: 'Alice', to: 'Bob', since: '2024-01-01' });

// Query relationships
const following = await db.query<{ name: string }>(`
  MATCH (:User {name: $name})-[:FOLLOWS]->(friend:User)
  RETURN friend.name AS name
`, { name: 'Alice' });

// Variable-length paths (1-3 hops)
const connections = await db.query<{ name: string }>(`
  MATCH (:User {name: $name})-[:FOLLOWS*1..3]->(connection:User)
  RETURN DISTINCT connection.name AS name
`, { name: 'Alice' });

Upsert with MERGE

await db.execute(`
  MERGE (u:User {email: $email})
  ON CREATE SET u.name = $name, u.createdAt = datetime()
  ON MATCH SET u.lastSeen = datetime()
`, { email: 'alice@example.com', name: 'Alice' });

Batch Insert with UNWIND

const users = [
  { name: 'Alice', email: 'alice@example.com' },
  { name: 'Bob', email: 'bob@example.com' },
];

await db.execute(`
  UNWIND $users AS data
  CREATE (u:User {name: data.name, email: data.email})
`, { users });

Error Handling

import { LeanGraph, LeanGraphError } from 'leangraph';

try {
  await db.query('MATCH (n:User RETURN n'); // syntax error
} catch (err) {
  if (err instanceof LeanGraphError) {
    console.error(`Query failed: ${err.message}`);
    console.error(`Position: line ${err.line}, column ${err.column}`);
  }
}

Testing

Use test mode for fast, isolated tests:

import { LeanGraph } from 'leangraph';

const db = await LeanGraph({ mode: 'test', project: 'test' });

// Tests run against in-memory database
await db.execute('CREATE (u:User {name: $name})', { name: 'Test' });
const [user] = await db.query('MATCH (u:User) RETURN u.name AS name');
assert(user.name === 'Test');

db.close(); // In-memory DB is discarded

Cypher Quick Reference

Supported Clauses

Clause	Example
CREATE	CREATE (n:User {name: 'Alice'})
MATCH	MATCH (n:User) RETURN n
OPTIONAL MATCH	OPTIONAL MATCH (n)-[:KNOWS]->(m) RETURN m
MERGE	MERGE (n:User {email: $email})
WHERE	WHERE n.age > 21 AND n.active = true
SET	SET n.name = 'Bob', n.updated = true
DELETE	DELETE n
DETACH DELETE	DETACH DELETE n
RETURN	RETURN n.name AS name, count(*) AS total
WITH	WITH n, count(*) AS cnt WHERE cnt > 1
UNWIND	UNWIND $list AS item CREATE (n {value: item})
UNION / UNION ALL	MATCH (n:A) RETURN n UNION MATCH (m:B) RETURN m
ORDER BY	ORDER BY n.name DESC
SKIP / LIMIT	SKIP 10 LIMIT 5
DISTINCT	RETURN DISTINCT n.category
CASE/WHEN	RETURN CASE WHEN n.age > 18 THEN 'adult' ELSE 'minor' END
CALL	CALL db.labels() YIELD label RETURN label

Operators

Category	Operators
Comparison	=, <>, <, >, <=, >=
Logical	AND, OR, NOT
String	CONTAINS, STARTS WITH, ENDS WITH
List	IN
Null	IS NULL, IS NOT NULL
Pattern	EXISTS
Arithmetic	+, -, *, /, %

Functions

Aggregation: COUNT, SUM, AVG, MIN, MAX, COLLECT

Scalar: ID, coalesce

String: toUpper, toLower, trim, substring, replace, toString, split

List: size, head, last, tail, keys, range

Node/Relationship: labels, type, properties

Math: abs, ceil, floor, round, rand, sqrt

Date/Time: date, datetime, timestamp

Variable-Length Paths

-- Find friends of friends (1 to 3 hops)
MATCH (a:User {name: 'Alice'})-[:KNOWS*1..3]->(b:User)
RETURN DISTINCT b.name

Procedures

-- List all labels
CALL db.labels() YIELD label RETURN label

-- List all relationship types
CALL db.relationshipTypes() YIELD type RETURN type

-- List all property keys
CALL db.propertyKeys() YIELD key RETURN key

Running the Server (Production)

For production deployments, run a dedicated server:

# Start the server
npx leangraph serve --port 3000 --data ./data

# Or with custom host binding
npx leangraph serve --port 3000 --host 0.0.0.0 --data ./data

Creating Projects

# Create a new project (generates API key)
npx leangraph create myapp --data ./data

# Output:
#   [created] production/myapp.db
#   API Key: lg_abc123...

CLI Reference

# Server
leangraph serve [options]
  -p, --port <port>     Port to listen on (default: 3000)
  -d, --data <path>     Data directory (default: /var/data/leangraph)
  -H, --host <host>     Host to bind to (default: localhost)
  -b, --backup <path>   Backup directory (enables backup endpoints)

# Project management
leangraph create <project>   Create new project with API keys
leangraph delete <project>   Delete project (use --force)
leangraph list               List all projects

# Environment management
leangraph clone <project> --from <env> --to <env>   Copy between environments
leangraph wipe <project> --env <env>                Clear environment database

# Direct queries
leangraph query <env> <project> "CYPHER"

# Backup
leangraph backup [options]
  -o, --output <path>   Backup directory
  -p, --project <name>  Backup specific project
  --status              Show backup status

# API keys
leangraph apikey add <project>
leangraph apikey list
leangraph apikey remove <prefix>

Advanced Usage

Direct Database Access

For advanced use cases, you can access the underlying components:

import { GraphDatabase, Executor, parse, translate } from 'leangraph';

// Direct database access
const db = new GraphDatabase('./my-database.db');
db.initialize();

const executor = new Executor(db);
const result = executor.execute('MATCH (n) RETURN n LIMIT 10');

db.close();

// Parse Cypher to AST
const parseResult = parse('MATCH (n:User) RETURN n');
if (parseResult.success) {
  console.log(parseResult.query);
}

// Translate AST to SQL
const translation = translate(parseResult.query, {});
console.log(translation.statements);

Running a Custom Server

import { createServer } from 'leangraph';
import { serve } from '@hono/node-server';

const { app, dbManager } = createServer({
  dataPath: './data',
  apiKeys: {
    'my-api-key': { project: 'myapp', env: 'production' }
  }
});

serve({ fetch: app.fetch, port: 3000 });

Known Limitations

Large Integer Precision

JavaScript cannot precisely represent integers larger than Number.MAX_SAFE_INTEGER (9,007,199,254,740,991). Integers beyond this range will lose precision, which can cause unexpected behavior when comparing values.

Example of the problem:

// These two different numbers become equal in JavaScript!
const a = 4611686018427387905;
const b = 4611686018427387900;
console.log(a === b); // true (both round to 4611686018427388000)

Workaround: Use strings for large integer IDs:

// Instead of:
CREATE (u:User {id: 4611686018427387905})

// Use strings:
CREATE (u:User {id: '4611686018427387905'})
MATCH (u:User {id: '4611686018427387905'}) RETURN u

This limitation affects all JavaScript-based systems, including Neo4j's JavaScript driver. For IDs that may exceed the safe integer range, string representation is the recommended approach.

License

MIT - Conrad Lelubre