Claude Skills + Memory Layer: Retain context across Claude Code and Codex

Description

You’re probably using Claude Code and Codex like everyone else… but what if you didn’t have to choose between them? In this demo, we ’ll show you how Claude Code + Codex + Byterover MCP can actually work together, using Claude Skill. 👉 Try Byterover here: https://www.byterover.dev/?source=ytcls Here’s what you’ll see: - How Byterover bridges the context gap between Claude Code and Codex - How Claude Code plans and implements - How Codex reviews and improves - Real use cases: planning, feedback loops, code reviews, and implementation - The exact setup using Claude Skill templates Once you see how they collaborate… you won’t code the same way again. The repo for this Claude Skill template: https://github.com/trietdeptrai/Byterover-Claude-Codex-Collaboration- ------------------------ Timestamp: 00:27 Intro to the workflow 02:54 Claude Code create the plan and Codex review that plan 04:30 Codex review code from Claude Code 05:35: The result —-------------------------- About Byterover: Byterover is a central agentic memory layer for dev teams with Git-like AI memory system - giving maximum context of coding agents, shared across IDEs, projects and teams. Now compatible with 20+ IDEs, CLIs including Cursor, Codex, ClaudeCode, Codex, Trae, Windsurf, Roo, Cline, and more. 🌐 Website: https://www.byterover.dev/?source=ytprd 🔗 LinkedIn: / byterover ✖️ X (Twitter): https://x.com/ByteroverDev #ByteRover #ProductGuide #AIcoding #claudecode #ContextEngineering #openai