🛡️ TelegramGuard

AI group guardian that actually answers your questions.

Anti-spam. Vision. Chat. No topic off-limits.

English | 中文

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Use It Now (Zero Setup)

Add the official bot to your Telegram group. No install, no config, no cost.

@iLangGuardBot

1. Open Telegram, search @iLangGuardBot
2. Add it to your group
3. Grant admin permissions (delete messages + ban users)
4. Done. Spam protection is automatic.

You can also DM the bot directly for AI chat.

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What It Does

Anti-Spam — AI three-step analysis detects ads, scams, crypto spam, porn, political propaganda. Sees through Unicode tricks, emoji stuffing, homophone substitution. Catches repeat flooding (same message 3+ times) with zero AI cost. Bans and deletes all recent messages in parallel.

Vision — Reads images and video thumbnails. Catches image spam. In chat mode, analyzes what's really happening in a photo, not just describing objects.

Chat — @ the bot in any group or DM privately. Multilingual, auto-detects your language. Finance, tech, relationships, culture, anything. Answers first, lectures never.

Three-Step Method for Sensitive Topics — Most bots refuse. TelegramGuard uses a different approach:

Step	What happens
Insider Risks	Shares what actually goes wrong: scams, traps, consequences
Reality Check	Asks if you're curious or serious, no judgment
Direction	Gives enough info to make smart decisions

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Host Your Own

Option 1: VPS (One Command)

curl -sL https://raw.githubusercontent.com/ilang-ai/TelegramGuard/main/install.sh | sudo bash

The script handles everything: clone, dependencies, token setup, systemd service, auto-start.

You need two things (both free):

• Bot Token — open Telegram → @BotFather → /newbot
• Gemini API Key — aistudio.google.com/apikey

After install:

systemctl status telegramguard     # check status
systemctl restart telegramguard    # restart
journalctl -u telegramguard -f    # live logs

Option 2: HuggingFace Space (Free, No Server)

1. Fork this repo
2. Create a HuggingFace Space → Docker SDK → Blank
3. GitHub repo Settings → Secrets → add HF_TOKEN (your HF write token)
4. HF Space Settings → Secrets → add BOT_TOKEN + GEMINI_API_KEY
5. Push to GitHub triggers auto-deploy to HF

Option 3: Manual

git clone https://github.com/ilang-ai/TelegramGuard.git
cd TelegramGuard
pip install -r requirements.txt
export BOT_TOKEN="your-token"
export GEMINI_API_KEY="your-key"
python bot.py

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Customize the AI

The bot's brain lives in .ilang files using I-Lang Prompt Spec:

prompts_demo/
├── persona.ilang     How it thinks + how it talks
├── antispam.ilang    What counts as spam
└── vision.ilang      How it reads images

Each file contains ::GENE definitions that control behavior:

::GENE_IMMUTABLE{S001, T:ANTI_COLLAPSE, A:MORAL_PANIC⇒LETHAL, G:ALL, Θ:ALWAYS}
# When user raises grey topics: don't panic, analyze objectively.

::IMMUNE{RISKY_OR_ILLEGAL, THREE_STEP_RESPONSE}
# Step 1: Insider risks  Step 2: Reality check  Step 3: Direction

Change the genes, change the bot. To customize: copy prompts_demo/ to prompts/, edit. The bot loads prompts/ first.

Learn I-Lang Prompt Spec →

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BotFather Setup

After creating your bot, send to @BotFather:

/setjoingroups  → Enable
/setprivacy     → Disable

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Architecture

TelegramGuard/
├── bot.py                 Core (group + private + events)
├── config.py              Env vars
├── install.sh             One-line VPS installer
├── Dockerfile             HF Space deployment
├── modules/
│   ├── chat.py            AI engine (loads .ilang prompts)
│   ├── db.py              Shared SQLite + async lock
│   ├── database.py        Schema
│   └── admin.py           Group admin
└── prompts_demo/          AI personality (.ilang files)

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Built with I-Lang Prompt Spec — structured AI instructions using genetic code.

MIT | Eastsoft Inc. | I-Lang Research