OpenReplay vs. Multiplayer for technical issues and bugs

From frontend-only, to full stack and end-to-end visibility. With Multiplayer you get the full picture on technical issues and bugs, immediately.
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How is Multiplayer different?

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Full stack visibility, not just frontend data

Multiplayer is laser-focused on shortening debugging workflows and resolving the technical issues that slow your team down.


  • OpenReplay is primarily a product analytics tool focused on capturing frontend user behavior. Third-party integrations are available to pull sampled backend data per session, but critical information is still missing. When something breaks or you need to resolve a technical issue, teams must manually piece together the full picture: hunting through observability tools, correlating timestamps across systems, and searching for user feedback and technical discussions.
  • Multiplayer is purpose-built for debugging workflows, focused on resolving technical issues and bugs through complete, correlated session context. Full-stack session recordings automatically connect everything (frontend screens, user actions, backend traces, logs, request/response content and headers, and user feedback) in a single, shared, annotatable timeline. No hunting, no manual correlation, no tool switching.

From day one, developers get all the context, support gets visibility and end-users get an easy way to report bugs.

Full stack visibility, not just frontend data

Everything you need, for any support scenario, out of the box

Multiplayer adapts to every support workflow. No extra tools, no manual workarounds, no rigid setup. Whether you're handling a question about “unexpected behavior” or a complex cross-service incident, Multiplayer gives you the full context to resolve it.


  • OpenReplay is built for product analytics, not technical debugging and support. Recordings are set to “always-on,” focused on frontend capture with basic annotation tools and limited control over when, what, or how sessions are recorded. It doesn’t cover the full spectrum of support scenarios (comprehensive technical troubleshooting or proactive bug identification across the stack). Support workflows often require bolting on external tools and manual configuration to fill the gaps.
  • Multiplayer enables any support workflow, with any existing ticketing system (e.g. Zendesk, Intercom, Jira). Multiple full-stack recording modes give you control without overhead. Multiple installation methods work however your team works. Your team can work across multiple use cases: from actively resolving technical support tickets to proactively identifying bugs so you can fix them before users even realize they’re there.

With Multiplayer, a single tool powers many workflows out of the box.

Everything you need, for any support scenario, out of the box

Developer-friendly and AI-native

Multiplayer fits seamlessly into your existing workflows and tool stack.


  • OpenReplay requires vendor lock-in to achieve full-stack visibility and it’s not optimized for AI assisted debugging. Integrating with an APM tool requires additional setup, another vendor in your stack, and still leaves you without critical debugging data like request/response content and headers from deep within your system. This also means that their proprietary AI agent is working with partial context, resulting in incomplete suggestions that still leave you doing manual correlation work to fully debug an issue.
  • Multiplayer is full-stack, backend-agnostic by default. Full-stack session recordings are compatible with any observability platform and capture everything out of the box. Through its MCP server, Multiplayer provides AI tools with self-contained, complete session units: frontend screens, unsampled backend traces, full request/response payloads, logs, and team annotations all pre-correlated in one place. Any AI tool can access this complete context to generate accurate root cause analysis and fix suggestions without gaps or guessing.

With Multiplayer your AI assistant becomes genuinely useful because it sees the complete picture.

Developer-friendly and AI-native

Why use Multiplayer?

Understand unclear, hard-to-describe issues

Understand unclear, hard-to-describe issues

Users often report confusing behavior or ask questions that require technical clarity. Sometimes the tickets themselves are ambiguous or incomplete. Multiplayer shows exactly what happened on the user's end, so support teams can answer quickly and confidently. No need to ask users for “more info” or escalate unnecessarily.
Resolve complex technical issues or bugs dramatically faster

Resolve complex technical issues or bugs dramatically faster

With full stack session recordings, Multiplayer lets you instantly see how bugs happened in a single timeline, automatically correlating data across all layers of your stack. It reduces guesswork , shortens investigation time, and saves hours from grepping through log files or jumping between dashboards and screens.
Eliminate costly, repetitive escalations

Eliminate costly, repetitive escalations

Multiplayer removes the back-and-forth that slows support and debugging workflows down. Support can review a user’s full session, annotate it, and escalate with complete context, so engineering can diagnose issues without reconstructing missing data. Cut down on meeting loops, duplicate work, and miscommunication, and get users to a resolution faster.

OpenReplay helps you understand frontend bugs

Multiplayer helps you understand and fix technical issues and bugs across your entire stack

Core differences

OpenReplayMultiplayer
PRIMARY USE CASE
Product analytics and frontend monitoring
Deep, collaborative investigation of technical support issues, bugs and escalations
USERS
Product, UX, Developers
Customer Support, Developers, QAs, end-users and external partners
SESSION REPLAYS
Limited
Always-on or co-browsing recording with limited versatility for different support workflows
Versatile by design with rich feature-set
Multiple recording modes, install options, and supported use cases
DATA PER SESSION
Limited
Frontend data by default, with third-party integrations required for sampled backend data and custom instrumentation for full stack data
Full stack data, backend agnostic
Compatible with any observability platform, language, environment, architecture, AI tool and deployment, out of the box. Includes data third-party integrations don’t provide, such as unsampled traces and request/response content and headers for components deep in your system.
TEAM COLLABORATION
Limited
View, share and highlight session replays
View, share, and annotate every aspect and data point of a session recording
AI CAPABILITIES
Native AI tool to interrogate and summarize session replays
Sessions are AI-ready from frontend screens, to backend traces, to team annotations.
The MCP server feeds complete, correlated and enriched context to your IDE or AI tool of choice

Session recording features

FeatureOpenReplayMultiplayer
Installation method
Only browser extension and SDK
Browser extension, in-app widget, SDK
SaaS and self-hosted deployment
Web & mobile applications
Data per session
Frontend only, third-party integrations required for sampled backend data
Full stack out of the box, compatible with any observability tool. No trace sampling or missing data.
Recording modes
Always-on and co-browsing
On-demand for granular start/stop control, continuous while you work, conditional for silent capture of specific user cohorts
Auto-saved sessions for errors or exceptions
Only through SDK and only for frontend errors
Both frontend and backend errors and exceptions are saved, using any installation method
Session recording sharing
Session recording annotation
No. Only comments
Sketch on top of recordings and annotate any data point in a session recording
Notebooks for team collaboration
No
Interactive sandbox environments to auto-generate runnable test scripts, test complex API integrations, collaborate on feature requirements or visualize data sets.
Masking sensitive user information
Session recording searchability
Frontend only
Full stack by default
Dashboards
Performance monitoring
System architecture and component overview
MCP server
No
For session-based, full-stack debugging workflows

Session recording data

FeatureOpenReplayMultiplayer
User clicks + inputs
Page navigations + loads
Session metadata (device, runtime environment, browser, OS)
DOM events
Console messages
Network requests
HTML source code
No
Backend errors
Third-party integration required, data is sampled
Correlated distributed traces
Third-party integration required, traces are sampled
Observability platform agnostic, zero sampling by default
User feedback
Only through browser extension
Supported on browser extension and in-app widget
Request/response content
Even with a third-party integration, no request/response content from middleware and internal service calls
Out of the box for all system layers including from middleware and internal service calls
Headers
Even with a third-party integration, no request/response headers from middleware and internal service calls
Out of the box for all system layers including from middleware and internal service calls
Service and dependency maps
No
Repositories
No

Getting started with Multiplayer
is easy.

A simple, performant interface so you can start recording in minutes. It fits right into your code with SDKs for your favorite programming languages.

You can install the Multiplayer Session Recorder using npm:

npm install @multiplayer-app/session-recorder-browser

Quick start

import SessionRecorder from '@multiplayer-app/session-recorder-browser'

SessionRecorder.init({
  application: 'my-web-app',
  version: '1.0.0',
  environment: 'production',
  apiKey: 'MULTIPLAYER_API_KEY',
})

More languages and CLI SDKs can be found in our documentation.

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