Telegram Launches Managed Bots Feature for No-Code AI Agent Creation
Telegram introduced the Managed Bots feature, enabling users to build and manage personal AI agents through Bot API without any coding skills.
Telegram has rolled out a new feature called Managed Bots, allowing users to build personal AI agents through Bot API without writing a single line of code.
"On Telegram, anyone can utilize AI bots to easily develop, launch and manage their own bot – with no coding required." — Telegram Messenger (@telegram), original post
How Managed Bots Works
The Managed Bots system operates on a hierarchical model where one assistant bot serves as a manager for others. The setup process is straightforward:
- Select a bot — either your own or a third-party one;
- Enable management mode;
- Generate a dedicated link.
Anyone who follows the link can create their own assistant with pre-filled data and then hand over control to the manager bot. Once delegated, the manager bot gains the ability to receive and send messages, modify the profile, and adjust settings on behalf of the managed bot.
According to Telegram's developers, this mechanism can be used to deploy personal assistants, AI agents, business solutions, and various custom tools.
Expanded Data Handling and Improved UI
Alongside the Managed Bots launch, Telegram has broadened the range of input types that bots can process. Beyond plain text, bots now handle:
- Files;
- Geolocation data;
- Stickers;
- Voice messages;
- Built-in commands such as /start and /help.
The user interface elements have also been upgraded. Inline keyboards and buttons now support richer interactions — bots can present menus, quick actions, links, and settings toggles directly within the chat without sending additional messages.
Bot-to-Bot Communication and Agentic Workflows
Telegram's team also announced support for communication between bots. This capability paves the way for complex agentic workflows where one bot can delegate tasks to another or process its responses within a group chat.
Such architecture enables multi-agent chains in which several specialized bots collaborate to solve complex tasks, distributing responsibilities among themselves.
Why This Matters
The Managed Bots launch effectively positions Telegram as a full-fledged platform for building and operating AI agents. By removing the coding requirement, the feature lowers the barrier to entry for entrepreneurs, small businesses, and non-technical users who want to leverage AI automation.
Bot-to-bot communication elevates the ecosystem further, enabling multi-agent systems to operate natively within the messenger. This aligns with the broader industry trend toward autonomous AI agents that has been gaining momentum across the tech sector.
For context, Telegram launched the Cocoon decentralized network for AI on the TON blockchain back in December 2025.
Frequently Asked Questions
What is Telegram Managed Bots?
Managed Bots is a new Telegram feature that lets users create and control AI bots via Bot API. One bot acts as a manager for others, gaining the ability to send messages, modify profiles, and adjust settings of managed bots.
Do I need coding skills to create an AI agent on Telegram?
No, the Managed Bots feature requires no programming knowledge. Users simply select a bot, enable management mode, and generate a link that others can use to create pre-configured assistants.
What data types can Telegram bots process now?
In addition to text, Telegram bots now handle files, geolocation, stickers, voice messages, and built-in commands like /start and /help. Inline keyboards and buttons have also been improved for richer in-chat interactions.
Can Telegram bots communicate with each other?
Yes, Telegram has announced bot-to-bot communication support. This enables complex agentic workflows where one bot can delegate tasks to another or process its responses within a group chat.
What is Telegram's Cocoon network?
Cocoon is a decentralized AI network launched by Telegram on the TON blockchain in December 2025. It is part of Telegram's expanding AI ecosystem.
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