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OMEGA vs XTrace

XTrace is a Chrome extension that replays your browser conversations across ChatGPT and Claude. OMEGA takes a different approach: a local-first memory server for developers, with semantic search, knowledge graphs, and multi-agent coordination.

Browser extension vs local intelligence layer. Two different audiences, two different definitions of memory. Here's where each one fits.

The Key Difference

OMEGA

Local-first intelligence layer

A standalone memory server running on your machine. All data stays in a local SQLite database. Connects to Claude Code, Cursor, or any MCP client. Adds semantic search, knowledge graphs, and multi-agent coordination.

MCP (any client)#1 LongMemEvalLocal SQLiteMulti-agent
XTrace

Browser memory extension

A Chrome extension that captures and replays conversations from ChatGPT and Claude in the browser. Designed for consumers who switch between AI tools and want context to carry over without any developer setup.

Chrome extensionContext replayXTrace serversNo setup

Full Comparison

Every row verified from public documentation and GitHub repos. Updated March 2026.

OMEGA vs XTrace feature comparison
FeatureOMEGAXTrace
PlatformMCP (any client)Chrome extension
Target audienceDeveloperConsumer/prosumer
Memory modelSemantic search + knowledge graphContext replay
Data locationYour machine (SQLite)XTrace servers
Multi-agent coordinationFile claims, branch guards, deadlock detectionNo
SearchVector + FTS5 + reranking, sub-50msBasic retrieval
LongMemEval score95.4% (#1)Not published
PricingFree core, $19/mo ProFree

Which Should You Use?

Use OMEGA if you…

  • You are a developer whose coding agent needs to remember your codebase, coordinate with other agents, and build intelligence across sessions. All on your machine.

Use XTrace if you…

  • You switch between ChatGPT and Claude in a browser and want your conversations to carry over. No developer setup needed.

All data verified March 2026 from official documentation and public repositories. OMEGA's LongMemEval score uses the standard methodology (Wang et al., ICLR 2025).

Give your agent memory that runs on your machine.