Loro

Reimagine state management with CRDTs 🦜
Make your app state synchronized and collaborative effortlessly.

Notice: The current API and encoding schema of Loro are experimental and subject to change.

Loro is a CRDTs(Conflict-free Replicated Data Types) library that allows you to persist and sync state easily. It is designed to make building local-first apps easier.

Features

You can build time travel feature easily with Loro.

Supported CRDT Algorithms

Common Data Structures: Support for List for ordered collections, LWW(Last Write Win) Map for key-value pairs, Tree for hierarchical data, and Text for rich text manipulation, enabling various applications.
Text Editing with Fugue: Loro integrates Fugue, a CRDT algorithm designed to minimize interleaving anomalies in concurrent text editing.
Peritext-like Rich Text CRDT: Drawing inspiration from Peritext, Loro manages rich text CRDTs that excel at merging concurrent rich text style edits, maintaining the original intent of users input as much as possible. Details on this will be explored further in an upcoming blog post.
Moveable Tree: For applications requiring directory-like data manipulation, Loro utilizes the algorithm from A Highly-Available Move Operation for Replicated Trees, which simplifies the process of moving hierarchical data structures.

Advanced Features in Loro

Preserve Editing History
- With Loro, you can track changes effortlessly as it records the editing history with low overhead.
- This feature is essential for audit trails, undo/redo functionality, and understanding the evolution of your data over time.
Time Travel Through History
- It allows users to compare and merge manually when needed, although CRDTs typically resolve conflicts well.
High Performance
- See benchmarks.

Features Provided by CRDTs

Decentralized Synchronization: Loro allows your app's state synced via p2p connections.
Automatic Merging: CRDTs guarantee strong eventual consistency by automating the merging of concurrent changes.
Local Availability: Data can be persisted on users' devices, supporting offline functionality and real-time responsiveness.
Scalability: Effortlessly scale your application horizontally thanks to the inherently distributed nature of CRDTs.
Delta Updates

Credits

Loro draws inspiration from the innovative work of the following projects and individuals:

Ink & Switch: The principles of Local-first Software have greatly influenced this project. The Peritext project has also shaped our approach to rich text CRDTs.
Diamond-types: The ingenious OT-like merging algorithm from @josephg has been adapted to reduce the computation and space usage of CRDTs.
Automerge: Their use of columnar encoding for CRDTs has informed our strategies for efficient data encoding.
Yjs: We have incorporated a similar algorithm for effectively merging collaborative editing operations, thanks to their pioneering contributions.
Matthew Weidner: His work on the Fugue algorithm has been invaluable, enhancing our text editing capabilities.

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