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The open-source debugging agent for developers. We connect your favorite coding agent to prod to fix application bugs automatically. Run us locally and eliminate PR slop.

6 starsTypeScript

Multiplayer – open-source local debugging agent, unsampled runtime data

by argoeris·Jun 18, 2026·3 points·0 comments

AI Analysis

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Local debugging agent feeding unsampled prod data to your coding agent.

Strengths
  • Session-based collection captures request/response data that APMs typically strip out
  • Local-first architecture keeps sensitive data on your machine until issue is identified
  • Pre-correlates data across service boundaries before routing to coding agents
Weaknesses
  • AI debugging space is getting crowded with similar agent-integration tools emerging
  • Requires teams to already be using coding agents like Claude Code or Copilot
Target Audience

Backend developers and SREs using AI coding agents

Similar To

Sentry · Datadog · Cursor

Post Description

We just open sourced Multiplayer: https://github.com/multiplayer-app/multiplayer

Multiplayer is a local debugging agent that captures full-stack, unsampled session data when something breaks in production and routes it to your coding agent to generate a fix. It runs on your machine, next to your coding agent. A few things that make it different from connecting a coding agent directly to your observability stack:

- Session-based collection instead of always-on(we only capture when something goes wrong) - Nothing gets sent anywhere until we've identified a new issue worth surfacing - Data is pre-correlated across service boundaries before it reaches the agent - Issues are deduplicated before routing - Includes what standard APMs strip out: request/response content and headers, release metadata, an issue summary, etc.

We wrote about why we're open sourcing now here: https://www.multiplayer.app/blog/multiplayer-is-now-open-sou...

Short version: we believe in this community, and we think the root cause of low-quality AI-generated PRs is the same data problem we're trying to solve.

Happy to answer any questions.

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