uluckyXH

uluckyXH / Chat-Codex

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Chat-Codex 让你很轻松的把Codex接入你的微信和飞书实现远程控制、审批、操控电脑等，同时支持多渠道

31
4
85% credibility
Found May 17, 2026 at 42 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Chat-Codex is a lightweight middleware that connects OpenAI Codex (an AI coding assistant) to messaging platforms like WeChat and Feishu. It lets users chat with Codex directly from their phone's messaging app, send images and files, receive code suggestions and generated files back, and manage separate AI sessions for different conversations. The tool includes safety features like approval workflows for sensitive operations, supports multiple chat channels simultaneously, and provides a visual setup interface for configuration. Data is stored locally on the user's machine.

How It Works

1
💬 Discover Chat-Codex

You hear about a tool that lets you chat with an AI coding assistant directly from WeChat or Feishu on your phone.

2
📦 Install and Launch

You install the tool and see a friendly setup screen that guides you through connecting your accounts.

3
📱 Connect Your Messaging App

You scan a QR code with WeChat or enter your Feishu bot credentials to link your messaging account.

4
⚙️ Choose Your Settings

You pick whether Codex should ask before making changes (safer) or act freely (faster), and set a working folder for your projects.

5
🚀 Start the Service

With one click, your personal AI coding assistant goes live and waits for messages from your chat app.

6
Chat with Your Assistant
🤖
Ask Questions

Get explanations, debugging help, or code reviews instantly in your chat window.

📁
Work on Projects

Send files or describe tasks; Codex reads your code, makes changes, and sends files back.

✨ Your Coding Assistant is Ready

You got help with your coding task directly from your phone's messaging app, with full conversation history preserved.

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AI-Generated Review

What is Chat-Codex?

Chat-Codex is a lightweight middleware that brings OpenAI's Codex coding agent into WeChat and Feishu private chats. You send messages from your phone, Codex thinks and executes locally on your machine, and replies come back through the chat. It handles the full loop: message normalization, session management, approval workflows, progress streaming, and file delivery back to the correct conversation.

Built in TypeScript with Node.js 22+, it runs a local Codex CLI process and exposes a terminal-based setup wizard. Each chat route binds to its own Codex session, preventing context bleed between conversations. The approval system lets you approve or deny Codex actions directly from chat using commands like /OK, /P, or /NO.

Why is it gaining traction?

The hook is simple: you get Codex on your phone without a browser. Developers can kick off tasks from anywhere, review approvals on the go, and get results pushed back to a familiar chat interface. The multi-channel design means WeChat and Feishu work side-by-side with isolated sessions per conversation.

Chat commands cover the essentials: /new, /resume, /sessions, /status, /stop, /model, /permission, /sendfile. Progress delivery is configurable (brief, detailed, silent). Model switching and reasoning effort controls are available at runtime. The TUI guides initial setup including WeChat QR login and Feishu bot configuration.

Who should use this?

Developers who want Codex access from mobile without opening a browser. Teams already using WeChat or Feishu for coordination can integrate Codex into existing workflows. Those comfortable with local CLI tools and willing to manage their own Codex installation will get the most value. Not suitable for teams locked to Slack, Teams, or other Western platforms.

Verdict

Chat-Codex solves a real mobility problem for Codex users in Chinese-speaking markets. The feature set is complete and the architecture is well-documented. However, with only 31 stars and a credibility score of 0.85%, this is early-stage software from an individual developer. Test coverage and production hardening are unknowns. Try it for personal use or small team experiments, but audit the code before depending on it for critical workflows.

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