It was mentioned in https://github.com/tursodatabase/turso/pull/3720 that adding Miri support for `turso_stress` would be useful. And, that a bash script to start Miri with the right config would be a big help. Notable changes: - `antithesis_sdk`'s default features are disabled at the workspace level, and only enabled as needed with the `antithesis` feature flag in the various turso crates. Miri needs the noop version of `antithesis_sdk` to run `turso_stress`, and feature unification previously prevented this. I'm not able to ensure locally that all the Antithesis stuff is still happy with these changes. - Bash script to run `turso_stress` - this is barebones for now, see below - Bash script to run `simulator` - this passes any args to the `cargo run` invocation inside, intercepting `--seed` if it's present, and generating one from `/dev/random` if it's not. The seed is passed to both Miri and the simulator to keep the overall execution reproducible. (I checked this with a simple case) - A `const fn`, `normal_or_miri` to supply different defaults in things like CLI args for normal operation and Miri, since it's so slow. (An idea I stole from tokio.) Right now the relevant values are 100x smaller for Miri, although Miri is probably 1000 to 10,000x slower overall from a rough estimation. Caught UB from running `turso_stress` with Miri: - An unsafe cast of a `*u8` to `*u32` inside the BTree implementation resulted in the `*u32` making an unaligned read: `read()` -> `read_unaligned()` fixes this Future work - Making `turso_stress` reproducible under Miri: - Right now `turso_stress` is plugged in to Antithesis, which is great! But, `antithesis_sdk`'s noop mode (`default-features = false`) turns `antithesis_sdk::random::get_random()` into `rand::random<u64>()`, which isn't seedable/reproducible. It's more work than I wanted to take on in this PR, but I'd like to instead conditionally replace `get_random` with a seedable `ChaCha8Rng` like in the simulator, if Miri is being used. Comment: - On a machine without all necessary dependencies, running the bash scripts fails in a way that cargo prompts you through installing the nightly toolchain, Miri, etc. until it works - Below is a snippet of the output from Miri on the Btree alignment issue. Because turso_stress isn't yet deterministic/reproducible under Miri, I can't always reproduce it. (It doesn't always happen like the ones in my last MR) ``` error: Undefined Behavior: accessing memory based on pointer with alignment 1, but alignment 4 is required --> /home/rwp/git/turso/core/storage/btree.rs:2860:50 | 2860 | let mut pgno: u32 = unsafe { right_pointer.cast::<u32>().read().swap_bytes() }; | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Undefined Behavior occurred here | = help: this indicates a bug in the program: it performed an invalid operation, and caused Undefined Behavior = help: see https://doc.rust-lang.org/nightly/reference/behavior-considered-undefined.html for further information ``` Closes #3790
Turso Database
An in-process SQL database, compatible with SQLite.
About
Turso Database is an in-process SQL database written in Rust, compatible with SQLite.
⚠️ Warning: This software is in BETA. It may still contain bugs and unexpected behavior. Use caution with production data and ensure you have backups.
Features and Roadmap
- SQLite compatibility for SQL dialect, file formats, and the C API [see document for details]
- Change data capture (CDC) for real-time tracking of database changes.
- Multi-language support for
- Asynchronous I/O support on Linux with
io_uring - Cross-platform support for Linux, macOS, Windows and browsers (through WebAssembly)
- Vector support support including exact search and vector manipulation
- Improved schema management including extended
ALTERsupport and faster schema changes.
The database has the following experimental features:
BEGIN CONCURRENTfor improved write throughput using multi-version concurrency control (MVCC).- Encryption at rest for protecting the data locally.
- Incremental computation using DBSP for incremental view mainatenance and query subscriptions.
The following features are on our current roadmap:
- Vector indexing for fast approximate vector search, similar to libSQL vector search.
Getting Started
Please see the Turso Database Manual for more information.
💻 Command Line
You can install the latest `turso` release with:
curl --proto '=https' --tlsv1.2 -LsSf \
https://github.com/tursodatabase/turso/releases/latest/download/turso_cli-installer.sh | sh
Then launch the interactive shell:
$ tursodb
This will start the Turso interactive shell where you can execute SQL statements:
Turso
Enter ".help" for usage hints.
Connected to a transient in-memory database.
Use ".open FILENAME" to reopen on a persistent database
turso> CREATE TABLE users (id INT, username TEXT);
turso> INSERT INTO users VALUES (1, 'alice');
turso> INSERT INTO users VALUES (2, 'bob');
turso> SELECT * FROM users;
1|alice
2|bob
You can also build and run the latest development version with:
cargo run
If you like docker, we got you covered. Simply run this in the root folder:
make docker-cli-build && \
make docker-cli-run
🦀 Rust
cargo add turso
Example usage:
let db = Builder::new_local("sqlite.db").build().await?;
let conn = db.connect()?;
let res = conn.query("SELECT * FROM users", ()).await?;
✨ JavaScript
npm i @tursodatabase/database
Example usage:
import { connect } from '@tursodatabase/database';
const db = await connect('sqlite.db');
const stmt = db.prepare('SELECT * FROM users');
const users = stmt.all();
console.log(users);
🐍 Python
uv pip install pyturso
Example usage:
import turso
con = turso.connect("sqlite.db")
cur = con.cursor()
res = cur.execute("SELECT * FROM users")
print(res.fetchone())
🦫 Go
go get github.com/tursodatabase/turso-go
go install github.com/tursodatabase/turso-go
Example usage:
import (
"database/sql"
_ "github.com/tursodatabase/turso-go"
)
conn, _ = sql.Open("turso", "sqlite.db")
defer conn.Close()
stmt, _ := conn.Prepare("select * from users")
defer stmt.Close()
rows, _ = stmt.Query()
for rows.Next() {
var id int
var username string
_ := rows.Scan(&id, &username)
fmt.Printf("User: ID: %d, Username: %s\n", id, username)
}
☕️ Java
We integrated Turso Database into JDBC. For detailed instructions on how to use Turso Database with java, please refer to the README.md under bindings/java.
🤖 MCP Server Mode
The Turso CLI includes a built-in Model Context Protocol (MCP) server that allows AI assistants to interact with your databases.
Start the MCP server with:
tursodb your_database.db --mcp
Configuration
Add Turso to your MCP client configuration:
{
"mcpServers": {
"turso": {
"command": "/path/to/.turso/tursodb",
"args": ["/path/to/your/database.db", "--mcp"]
}
}
}
Available Tools
The MCP server provides nine tools for database interaction:
open_database- Open a new databasecurrent_database- Describe the current databaselist_tables- List all tables in the databasedescribe_table- Describe the structure of a specific tableexecute_query- Execute read-only SELECT queriesinsert_data- Insert new data into tablesupdate_data- Update existing data in tablesdelete_data- Delete data from tablesschema_change- Execute schema modification statements (CREATE TABLE, ALTER TABLE, DROP TABLE)
Once connected, you can ask your AI assistant:
- "Show me all tables in the database"
- "What's the schema for the users table?"
- "Find all posts with more than 100 upvotes"
- "Insert a new user with name 'Alice' and email 'alice@example.com'"
MCP Clients
Claude Code
If you're using Claude Code, you can easily connect to your Turso MCP server using the built-in MCP management commands:
Quick Setup
-
Add the MCP server to Claude Code:
claude mcp add my-database -- tursodb ./path/to/your/database.db --mcp -
Restart Claude Code to activate the connection
-
Start querying your database through natural language!
Command Breakdown
claude mcp add my-database -- tursodb ./path/to/your/database.db --mcp
# ↑ ↑ ↑ ↑
# | | | |
# Name | Database path MCP flag
# Separator
my-database- Choose any name for your MCP server--- Required separator between Claude options and your commandtursodb- The Turso database CLI./path/to/your/database.db- Path to your SQLite database file--mcp- Enables MCP server mode
Example Usage
# For a local project database
cd /your/project
claude mcp add my-project-db -- tursodb ./data/app.db --mcp
# For an absolute path
claude mcp add analytics-db -- tursodb /Users/you/databases/analytics.db --mcp
# For a specific project (local scope)
claude mcp add project-db --local -- tursodb ./database.db --mcp
Managing MCP Servers
# List all configured MCP servers
claude mcp list
# Get details about a specific server
claude mcp get my-database
# Remove an MCP server
claude mcp remove my-database
Claude Desktop
For Claude Desktop, add the configuration to your claude_desktop_config.json file:
{
"mcpServers": {
"turso": {
"command": "/path/to/.turso/tursodb",
"args": ["./path/to/your/database.db.db", "--mcp"]
}
}
}
Cursor
For Cursor, configure MCP in your settings:
- Open Cursor settings
- Navigate to Extensions → MCP
- Add a new server with:
- Name:
turso - Command:
/path/to/.turso/tursodb - Args:
["./path/to/your/database.db.db", "--mcp"]
- Name:
Alternatively, you can add it to your Cursor configuration file directly.
Direct JSON-RPC Usage
The MCP server runs as a single process that handles multiple JSON-RPC requests over stdin/stdout. Here's how to interact with it directly:
Example with In-Memory Database
cat << 'EOF' | tursodb --mcp
{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "client", "version": "1.0"}}}
{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "schema_change", "arguments": {"query": "CREATE TABLE users (id INTEGER, name TEXT, email TEXT)"}}}
{"jsonrpc": "2.0", "id": 3, "method": "tools/call", "params": {"name": "list_tables", "arguments": {}}}
{"jsonrpc": "2.0", "id": 4, "method": "tools/call", "params": {"name": "insert_data", "arguments": {"query": "INSERT INTO users VALUES (1, 'Alice', 'alice@example.com')"}}}
{"jsonrpc": "2.0", "id": 5, "method": "tools/call", "params": {"name": "execute_query", "arguments": {"query": "SELECT * FROM users"}}}
EOF
Example with Existing Database
# Working with an existing database file
cat << 'EOF' | tursodb mydb.db --mcp
{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "client", "version": "1.0"}}}
{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "list_tables", "arguments": {}}}
EOF
Contributing
We'd love to have you contribute to Turso Database! Please check out the contribution guide to get started.
Found a data corruption bug? Get up to $1,000.00
SQLite is loved because it is the most reliable database in the world. The next evolution of SQLite has to match or surpass this level of reliability. Turso is built with Deterministic Simulation Testing from the ground up, and is also tested by Antithesis.
Even during Alpha, if you find a bug that leads to a data corruption and demonstrate how our simulator failed to catch it, you can get up to $1,000.00. As the project matures we will increase the size of the prize, and the scope of the bugs.
More details here.
You can see an example of an awarded case on #2049.
Turso core staff are not eligible.
FAQ
Is Turso Database ready for production use?
Turso Database is currently under heavy development and is not ready for production use.
How is Turso Database different from Turso's libSQL?
Turso Database is a project to build the next evolution of SQLite in Rust, with a strong open contribution focus and features like native async support, vector search, and more. The libSQL project is also an attempt to evolve SQLite in a similar direction, but through a fork rather than a rewrite.
Rewriting SQLite in Rust started as an unassuming experiment, and due to its incredible success, replaces libSQL as our intended direction. At this point, libSQL is production ready, Turso Database is not - although it is evolving rapidly. More details here.
Publications
- Pekka Enberg, Sasu Tarkoma, Jon Crowcroft Ashwin Rao (2024). Serverless Runtime / Database Co-Design With Asynchronous I/O. In EdgeSys ‘24. [PDF]
- Pekka Enberg, Sasu Tarkoma, and Ashwin Rao (2023). Towards Database and Serverless Runtime Co-Design. In CoNEXT-SW ’23. [PDF] [Slides]
License
This project is licensed under the MIT license.
Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in Turso Database by you, shall be licensed as MIT, without any additional terms or conditions.
Partners
Thanks to all the partners of Turso!
Contributors
Thanks to all the contributors to Turso Database!


