Your Telegram AI agent. Always on.
Deploy a Klaws agent and connect it to Telegram in 60 seconds. Your agent lives in a private chat with you — receives commands, pushes alerts, runs scheduled jobs, and can reach out when something matters. No bot-builder UI, no webhooks to configure, no servers.
Your agent with Telegram
How it works
Sign up for Klaws and deploy your agent (60 seconds).
Paste your Telegram bot token from BotFather in the Integrations tab.
Start chatting — your agent responds instantly from Telegram.
Drop this in and ship.
The prompt below is a working starting point for Telegram. Copy it, paste it into your Klaws agent, tune to your stack — and you're running.
Klaws vs a custom Telegram bot
You could build a Telegram bot yourself with Python, webhooks, and a server. Most founders stop doing that after their first month because the maintenance overhead kills the fun.
Zero infrastructure
No server, no webhooks, no deploy pipeline. Paste a BotFather token, you're live in 60 seconds.
A real agent brain
Your bot isn't command-routing — it's a full LLM agent with persistent memory, tool access, and reasoning.
Cross-channel by default
Same agent lives on Telegram, email, Discord, and the web dashboard. No glue code between them.
Scales without babysitting
Rate limits, retries, error monitoring — handled. You focus on what you want the agent to do.
Learn more about Telegram
Common questions
Do I need to run a Telegram bot server?
No. Klaws hosts the bot for you on managed infrastructure. You just paste your BotFather token once and it's connected.
Can my agent initiate conversations on Telegram?
Yes. You can schedule cron jobs (e.g. 'every morning at 8am') or webhook triggers that make your agent send messages proactively without you asking first.
Is my Telegram data private?
Yes. Messages are processed on Klaws' servers and never used to train any model. Your bot token is encrypted at rest.
Can I have multiple agents in one Telegram chat?
Yes, but each needs its own bot token. Most people run one agent across multiple chats instead — same brain, same memory, different conversations.