cloveric

Native Codex & Claude Code CLI on Telegram — multi-bot, multi-engine, Agent Bus (parallel, verification, pipeline). Per-bot personality, budget caps, streaming, session resume, backup & restore, i18n. Why use OpenClaw when you can run 10 native bots from your phone?

35
12
100% credibility
Found Apr 13, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A tool that turns AI coding command-line tools into multiple independent Telegram chatbots with personalities, file handling, voice support, spending limits, and optional bot-to-bot collaboration.

How It Works

1
🔍 Discover the Bridge

You hear about a handy tool that brings powerful AI coding helpers right into your Telegram chats, like having smart assistants on your phone.

2
📱 Make a Telegram Bot

On your phone, chat with BotFather in Telegram to quickly create your own bot and grab its special access code.

3
🤖 Let AI Set It Up

Tell your AI on the computer to read the guide and prepare everything using that bot code—it handles all the setup for you.

4
🔗 Pair Your Phone

Send a quick message to your new bot, get a pairing code back, and enter it on the computer to connect your phone instantly.

5
💬 Chat with Your AI Helper

Now type questions, send voice notes or files in Telegram, and watch your AI respond live with code, analysis, or files right back.

6
Add More Helpers?
Keep It Simple

Stick with one trusty helper for everyday coding magic.

🚀
Build a Team

Launch multiple specialized bots that chat together for bigger projects.

🎉 AI Anywhere

Your phone now has super-smart coding buddies that handle sessions, files, voice, and teamwork—coding feels effortless on the go.

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Star Growth

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AI-Generated Review

What is cc-telegram-bridge?

This TypeScript project bridges native OpenAI Codex and Claude Code CLI tools to Telegram bots, letting you chat with real CLI sessions, memory, and file handling from your phone. Run multiple isolated bots—each with custom personalities via agent.md files, engine choice (Codex or Claude), budget caps, streaming responses, voice transcription, and i18n support. Back up/restore states easily, with Docker for codex native install on Windows, macOS, or Linux.

Why is it gaining traction?

It skips API wrappers for true native Codex execution, including session resume and CLAUDE.md project rules, outperforming tools like OpenClaw by supporting 10+ bots via Agent Bus for parallel tasks, verification pipelines, or delegation (/ask, /fan, /verify). Mobile perks like YOLO auto-approval, local ASR for voice, and per-bot budgets make it a github native client for react native codex skills in agent workflows, with github native ui for quick ops.

Who should use this?

AI devs building multi-agent systems need this for Telegram-accessible Codex native sdk or Claude pipelines—think code reviewers chaining to researchers, or solo coders running specialized bots (strict reviewer, deep researcher) from phones. Game devs on github native lab or teams handling github native file dialog automations will like the backup/restore and native instruments integration for agent persistence.

Verdict

Grab it if you want native codex app on Telegram—solid docs, Vitest tests, and CLI like `npm run dev -- telegram service start` make setup fast, despite 35 stars and 1.0% credibility score signaling early github native alpha stage (automerge not enabled). Production-ready for personal use; watch for community growth.

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