Multiplayer

Advanced · 13 min read · Updated Nov 10, 2026

Multiplayer Collaboration: Build Real-Time Collaborative Workflow Editors

Modern workflow editors are becoming more collaborative. Instead of working independently, users increasingly expect to edit diagrams, build automation workflows, and manage visual projects together in real time.

Imagine two users working on the same workflow editor. One user creates a node while another connects it to an existing node. Both users should see these changes immediately, without refreshing the page or manually saving their work.

This is the idea behind multiplayer collaboration in React Flow.

React Flow provides the foundation for building interactive node-based interfaces, but real-time collaboration requires an additional synchronization layer. Developers need to manage shared nodes and edges, synchronize user interactions, handle concurrent changes, and maintain consistent application state across multiple clients.

In this guide, we will explore how multiplayer collaboration works in React Flow, which data should be synchronized, how to handle conflicts, and how to choose the right real-time collaboration technology for your application.

What Is Multiplayer Collaboration in React Flow?

Multiplayer collaboration allows multiple users to interact with the same React Flow canvas simultaneously.

Every participant works on a shared diagram, and changes made by one user become visible to the others in real time.

For example, consider a collaborative workflow editor:

  1. User A creates a new workflow node.
  2. User B immediately sees the new node.
  3. User B connects it to another node.
  4. User A sees the updated connection.
  5. Both users can move nodes and explore the workflow together.

A complete multiplayer experience can include:

  • Real-time node creation and deletion.
  • Shared edge connections.
  • Collaborative node positioning.
  • Live cursor indicators.
  • User presence and profile information.
  • Shared viewport or canvas navigation.
  • Automatic saving and synchronization.
  • Conflict resolution for simultaneous edits.

This is more than periodically saving workflow data to a database. A proper multiplayer application synchronizes ongoing interactions so that collaborators experience a consistent shared workspace.

1. How Real-Time Collaboration Works in React Flow

React Flow manages the visual representation of nodes, edges, and the viewport. However, it does not automatically synchronize these elements between different users.

To implement multiplayer functionality, you need a separate synchronization system.

A typical architecture contains three main layers:

React Flow frontend

Responsible for rendering the canvas, handling user interactions, and updating local application state.

Real-time synchronization layer

Responsible for sharing changes between connected users, managing concurrent operations, and resolving conflicts.

Backend or persistence layer

Responsible for storing shared workflow data, managing user access, and supporting session management.

A simplified architecture looks like this:

          User A                    User B
             |                         |
       React Flow UI              React Flow UI
             |                         |
       Local State                Local State
             |                         |
             +----------+--------------+
                        |
              Sync / Collaboration
                     Layer
                        |
              Shared Document or
                Realtime Backend
                        |
                 Persistent Data

When a user modifies a node, the local application sends the relevant update to the synchronization layer. The other connected clients receive that update and apply it to their own React Flow state.

The exact implementation depends on the collaboration technology you choose.

2. Understand Local-First and Server-Authoritative Architectures

Before implementing multiplayer collaboration, you need to choose how application state will be synchronized.

Two common approaches are local-first and server-authoritative architectures.

Local-first collaboration

In a local-first application, each client maintains a local copy of the shared document.

Changes can be applied locally and synchronized with other clients when a connection becomes available.

This approach is particularly useful for applications that need offline editing.

For example, User A can modify a workflow while temporarily disconnected. When the connection returns, the synchronization system merges the changes with the shared document.

Technologies such as Yjs and Automerge use Conflict-free Replicated Data Types (CRDTs) to support this model.

Server-authoritative collaboration

In a server-authoritative architecture, a central backend manages shared application state.

Clients send updates to the server, and the server distributes relevant changes to other connected users.

This approach is useful when an application already depends on a central database, server-side business logic, or access-control policies.

Technologies such as Liveblocks, Supabase, and Convex can support real-time collaborative applications through different synchronization models.

Local-first vs. server-authoritative comparison

FeatureLocal-first / CRDTServer-authoritative
State managementShared document replicasCentral backend or service
Offline editingStrong supportDepends on implementation
Conflict resolutionCRDT-based mergingService or application dependent
Database integrationMay require adaptersOften more direct
ImplementationRequires understanding document synchronizationRequires backend and synchronization design
Best forOffline-first collaborative editorsDatabase-driven SaaS applications

Neither approach is universally better. Your choice should depend on offline requirements, data architecture, conflict-resolution needs, and the complexity of your application.

3. What Is a CRDT and Why Does It Matter?

A CRDT, or Conflict-free Replicated Data Type, is a data structure designed to support concurrent updates across multiple replicas.

In a collaborative React Flow application, two users might edit the same shared document at nearly the same time.

For example:

  • User A moves a node to a new position.
  • User B updates that node's data.
  • Both changes reach the synchronization system in a different order.

Without a reliable conflict-resolution strategy, one update could overwrite another.

CRDT-based systems are designed to merge compatible concurrent changes and converge toward a consistent shared state.

Popular CRDT technologies include:

  • Yjs
  • Automerge
  • Loro

These technologies are particularly useful when building collaborative diagram editors, visual programming environments, and offline-first workflow applications.

However, CRDTs do not automatically solve every application-level conflict. You still need to define how your application handles operations such as deleting a node while another user is editing it.

4. Which React Flow State Should You Synchronize?

One of the most important decisions in a multiplayer application is determining which parts of React Flow state should be shared.

Not every state property needs to be synchronized.

Some information represents the shared workflow itself, while other information represents an individual user's interface.

For example, if User A selects a node, that does not necessarily mean User B should see the same node selected.

React Flow multiplayer state can be divided into two main categories:

  • Durable state: Information that should remain consistent across collaborators and persist in the shared document.
  • Ephemeral state: Temporary information used to represent ongoing interactions or individual user activity.

Durable vs. ephemeral state

State propertyRecommended handlingReason
Node IDDurableIdentifies a shared node
Node typeDurableDefines the node structure
Node dataDurableContains shared node information
Node positionDurable, with transient updatesRepresents the shared layout
Node dimensionsDurable where explicitly managedCan affect shared layout
Node draggingEphemeralTemporary interaction state
Node resizingEphemeralTemporary interaction state
Node selectionLocalEach user can select independently
Measured dimensionsLocal/computedDerived from the browser DOM
Edge IDDurableIdentifies a shared connection
Edge typeDurableDefines edge appearance and behavior
Edge dataDurableContains shared edge information
Edge source and targetDurableDefines graph connectivity
Source and target handlesDurableDefines connection endpoints
Edge selectionLocalSelection belongs to each user

A useful rule is to synchronize information that defines the shared workflow, but keep personal interface state separate.

This prevents unnecessary synchronization and reduces the possibility of inconsistent user experiences.

5. Synchronize Nodes and Edges Between Multiple Users

Nodes and edges form the core of a React Flow application.

When implementing multiplayer functionality, these elements must remain consistent across connected clients.

For example, when a user creates a node, the application should:

  1. Generate a unique node ID.
  2. Add the node to the shared document.
  3. Synchronize the document update.
  4. Update the local React Flow representation.
  5. Display the new node to other connected users.

The same principle applies to edge creation, deletion, and reconnection.

A simplified React Flow data structure might look like this:

import type { Node, Edge } from '@xyflow/react';

type WorkflowNodeData = {
  label: string;
  description?: string;
};

type WorkflowNode = Node<WorkflowNodeData>;

const initialNodes: WorkflowNode[] = [
  {
    id: 'trigger-1',
    type: 'default',
    position: { x: 100, y: 100 },
    data: {
      label: 'Start Workflow',
    },
  },
];

const initialEdges: Edge[] = [];

In a multiplayer application, the shared document becomes the source of truth for the synchronized workflow data.

Your React Flow component then renders the synchronized nodes and edges.

The synchronization layer should also handle deleted nodes, removed connections, and invalid operations so that every client maintains a consistent graph.

6. Share Live Cursors and User Presence

A collaborative workflow editor feels more interactive when users can see where other participants are working.

For example, you might display:

  • User profile pictures.
  • Names of active collaborators.
  • Live cursor positions.
  • Current editing indicators.
  • Online and offline status.
  • Active workflow participants.

These features are generally considered ephemeral state because they describe current user activity rather than the permanent workflow structure.

Tracking cursor positions

A cursor position can be converted into React Flow's coordinate system using the flow instance.

import { useReactFlow } from '@xyflow/react';

function useCanvasPosition() {
  const { screenToFlowPosition } = useReactFlow();

  const getPosition = (event: MouseEvent) => {
    return screenToFlowPosition({
      x: event.clientX,
      y: event.clientY,
    });
  };

  return getPosition;
}

The resulting position can be shared through your collaboration layer and rendered as a cursor overlay.

For example, a cursor object could contain:

type CollaboratorCursor = {
  userId: string;
  name: string;
  color: string;
  x: number;
  y: number;
};

Each connected client can render the cursor information associated with other users.

Avoid excessive cursor updates

Cursor movements can generate a large number of events.

Sending every mouse movement directly to the backend may create unnecessary network traffic.

Consider:

  • Throttling or debouncing cursor updates.
  • Interpolating cursor movement on other clients.
  • Removing presence information when users disconnect.
  • Keeping cursor updates separate from durable workflow changes.

This makes collaboration smoother and reduces unnecessary synchronization.

7. Handle Simultaneous Editing and Conflict Resolution

Conflict resolution is one of the most challenging parts of building multiplayer applications.

Imagine two users editing the same workflow:

  • User A deletes a node.
  • User B moves that node.
  • Both operations are sent to the synchronization system.

What should happen?

If the delete operation is accepted first, the move operation should not recreate the deleted node accidentally.

Your application needs a clear strategy for handling these situations.

Common conflict scenarios

ScenarioPotential issueRecommended approach
Two users move the same nodeCompeting position updatesDefine a merge or ordering strategy
One user deletes a nodeAnother user edits the deleted nodeReject or reconcile invalid updates
Two users edit node dataOne update overwrites anotherUse structured updates or CRDT-backed data
Two users create connectionsDuplicate or invalid edgesValidate connections and maintain unique IDs
User disconnects during editingMissing updatesReconcile shared state after reconnection

A simple first-come-first-served approach might work for small prototypes, but it can become unreliable as the application grows.

For production systems, use a synchronization engine that handles concurrent updates, reconnections, and invalid operations.

8. Choose the Right Multiplayer Library for React Flow

React Flow does not require one specific collaboration backend. You can integrate it with different real-time technologies depending on your application's requirements.

Here are several popular options.

Yjs

****
Yjs is a CRDT-based framework designed for collaborative applications. It supports shared data structures, real-time synchronization, and offline editing when paired with suitable providers.
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Yjs is useful when you want fine-grained control over shared document structures and need a flexible local-first collaboration architecture.

Automerge

****
Automerge is a local-first synchronization framework that helps applications merge concurrent changes and maintain shared document state.
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It is a useful option for collaborative editors that need offline support and document history.

Liveblocks

****
Liveblocks provides real-time collaboration infrastructure, including presence, shared storage, and collaboration features for interactive applications.
<text color="secondary" size="xs"><Link url="https://liveblocks.io/" title="Official website"/></text>

It is a practical option for applications that need collaborative user experiences without building every part of the synchronization infrastructure themselves.

Supabase

****
Supabase offers PostgreSQL, authentication, and real-time capabilities. It can support collaborative workflow applications that already use a database-centered architecture.
<text color="secondary" size="xs"><Link url="https://supabase.com/" title="Official website"/></text>

You will need to design appropriate synchronization and conflict-resolution rules for shared workflow data.

Convex

****
Convex provides a TypeScript-oriented backend with reactive queries and mutations. It can be useful for applications that need real-time database updates and centralized application logic.
<text color="secondary" size="xs"><Link url="https://convex.dev/" title="Official website"/></text>

It can also be combined with CRDT-based tools when an application requires more advanced offline-first collaboration.

Multiplayer technology comparison

TechnologyArchitectureOffline supportBest suited for
YjsCRDT / Local-firstStrongCollaborative documents and editors
AutomergeCRDT / Local-firstStrongOffline-first applications
LoroCRDT / Local-firstStrongCollaborative data with history
LiveblocksManaged collaborationDepends on feature and setupReal-time presence and shared editing
SupabaseServer-authoritativeRequires additional offline strategyDatabase-driven SaaS
ConvexServer-authoritativeRequires additional offline strategyReactive TypeScript applications

The right choice depends on your data model, persistence requirements, expected number of collaborators, and offline support needs.

9. Best Practices for Building Multiplayer React Flow Applications

A reliable collaborative editor needs more than a real-time connection. It needs a carefully designed synchronization strategy.

Separate shared state from local state

Synchronize nodes, edges, and other workflow information that all collaborators need to see.

Keep individual selection, local menus, temporary UI states, and other personal interactions separate.

Use stable IDs

Every node and edge should have a unique, stable ID.

Avoid generating new IDs during rendering or when reconstructing synchronized state.

Design conflict resolution early

Do not wait until the application has multiple users to think about concurrent edits.

Define how your application handles deletion, reconnection, simultaneous updates, and reconnection after network failures.

Optimize ephemeral updates

Cursor positions, presence indicators, and temporary interaction states can generate frequent updates.

Throttle or debounce these events where appropriate.

Handle network interruptions

Users may lose their connection while editing.

Your application should provide clear connection status and a reliable process for restoring synchronized state.

Keep persistence separate from presence

The shared workflow should remain saved even when all collaborators leave the session.

Temporary presence information should disappear when users disconnect or their sessions expire.

Protect shared workflows

Multiplayer applications should include authentication, authorization, and access control.

Only users with the appropriate permissions should be able to view or modify a shared workflow.

10. Common Use Cases for Multiplayer React Flow

Real-time collaboration makes React Flow suitable for a wide range of collaborative products.

Use caseCollaboration experience
AI Workflow BuilderMultiple developers design AI pipelines together
Marketing AutomationTeams build and review campaign workflows
Visual ProgrammingDevelopers create logic and connect operations collaboratively
Diagram EditorTeams design architecture and system diagrams
Data Pipeline BuilderUsers configure data processing steps together
Product PlanningTeams organize visual processes and dependencies
Mind MappingParticipants build and modify ideas in real time
Whiteboard ApplicationUsers draw, connect, and annotate shared content

The common requirement is a shared visual workspace where users can make changes and see the results immediately.

11. Explore Collaborative Workflow Examples with VisualFlow

Building a multiplayer workflow editor requires careful decisions about node architecture, state synchronization, custom interactions, and user experience.

VisualFlow provides React Flow examples and ready-to-use templates that can help developers explore different approaches to building advanced visual applications.

You can use these examples as a starting point for:

  • AI workflow builders.
  • Marketing automation editors.
  • Collaborative diagram interfaces.
  • Custom node-based applications.
  • Interactive visual programming tools.
  • Workflow management platforms.

For example, a collaborative workflow editor can combine React Flow's node-based canvas with a synchronization service such as Yjs or Liveblocks to create a shared editing experience.

Explore VisualFlow to discover React Flow templates and implementation ideas for your next workflow application.

Conclusion

Multiplayer collaboration transforms a traditional React Flow editor into a shared workspace where multiple users can create, edit, and explore workflows together.

To build a reliable experience, developers need to understand the difference between durable and ephemeral state, choose an appropriate synchronization architecture, and plan for concurrent edits and network interruptions.

Libraries such as Yjs, Automerge, Liveblocks, Supabase, and Convex provide different approaches to real-time collaboration.

The most important decision is choosing a synchronization strategy that matches your application's requirements.

With the right architecture, React Flow can serve as the visual foundation for collaborative AI builders, automation platforms, diagram editors, and other real-time workflow applications.