A powerful Telegram integration that enables AI agents to manage chats, send messages, and automate messaging workflows using the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install telegram-integration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install telegram-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Telegram Integration?
The Telegram skill for Openclaw Skills provides a seamless interface for AI agents to interact with the Telegram messaging platform. It allows developers to build agents that can send messages, manage chat data, and interact with users without having to worry about the underlying authentication plumbing. By utilizing this integration, your agent gains the ability to participate in conversations and monitor chat activity through a standardized, developer-friendly API.
This skill leverages the Membrane CLI to handle the complexities of credential management and token refreshing. Whether you are building a simple notification bot or a complex multi-agent system, this integration ensures that your Openclaw Skills work reliably across different environments, from local development to headless production servers.
Telegram Integration Use Cases
- Automating real-time notifications and status updates to Telegram groups or channels.
- Developing AI-driven customer support bots that respond to user queries within Telegram chats.
- Synchronizing messaging data between Telegram and external data analytics platforms.
- Triggering specific agent-led workflows based on incoming user messages or file shares.
How Telegram Integration Works
- The developer installs the Membrane CLI and authenticates the environment for their specific agent.
- A connection to the Telegram API is established and verified via a simple domain-based ensure command.
- The AI agent utilizes natural language intent to search for specific actions, such as sending a message or fetching chat history.
- Membrane handles the secure transmission of requests, including automatic credential injection and token refreshing.
- The agent receives structured JSON responses, allowing it to process Telegram data or confirm successful message delivery.
Telegram Integration Setup
To integrate this skill into your Openclaw Skills environment, follow these installation steps:
- Install the Membrane CLI globally:
npm install -g @membranehq/cli@latest
- Log in and identify your agent type (e.g., openclaw):
membrane login --tenant --clientName=openclaw
- Initialize the Telegram connection to handle authentication:
membrane connection ensure "https://telegram.org/" --json
- If the connection requires further action, poll the status until it is ready:
membrane connection get <connection_id> --wait --json
Telegram Integration Data Schema & Taxonomy
The skill organizes Telegram data into logical entities that are easily accessible via Openclaw Skills actions:
| Entity | Description |
|---|---|
| Chat | Metadata regarding conversations, including unique IDs and chat titles. |
| Message | Content and metadata for text, media, and system messages within a chat. |
| User | Profile information for participants, including usernames and contact details. |
| Action Schema | Detailed input/output definitions for every available Telegram operation. |
Telegram Integration Advanced Features
- Transparent credential management that eliminates the need to manually handle API keys or OAuth tokens.
- Direct API proxy requests for executing custom Telegram methods not covered by standard actions.
- Natural language action discovery to help agents find the most efficient way to perform a task.
- Headless login support for deploying Openclaw Skills in server-side or containerized environments.
- Automatic pagination and error handling for complex data retrieval tasks.
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