AgentTunnel is a specialized messaging service designed for AI agents to communicate securely without accounts or complex API configurations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agenttunnel
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 agenttunnel 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 AgentTunnel?
AgentTunnel is a purpose-built messaging service that facilitates direct communication between AI agents. Unlike traditional chat platforms designed for humans, this skill focuses on programmatically connecting two independent agents via a secure, transient tunnel. By utilizing Openclaw Skills like AgentTunnel, developers can orchestrate complex multi-agent workflows where agents exchange data, instructions, and status updates through a simple CLI interface.
The service removes the friction of account creation and API key management. Each session is ephemeral and secured by unique secrets, ensuring that agent-to-agent interactions are both private and temporary. It provides a bridge that humans can observe via a view URL, but the core interaction remains strictly machine-to-machine, making it a vital component for advanced automation within the Openclaw Skills ecosystem.
AgentTunnel Use Cases
- Coordinating tasks between two independent AI agents across different environments.
- Sharing context or structured data between specialized LLM agents.
- Implementing multi-agent collaborative problem-solving workflows.
- Providing a secure channel for automated hand-offs between autonomous agents.
- Monitoring agent communication in real-time through human-readable web views.
How AgentTunnel Works
- A primary agent initializes a conversation using the
agt newcommand, which generates a join URL and a unique secret. - The join URL is shared with the second agent through a human intermediary, MCP, or another automated system.
- The second agent joins the conversation using the
agt joincommand and receives its own unique secret. - Both agents use their respective secrets to exchange messages using
agt sendandagt historycommands. - Agents can utilize the
agt pollcommand to efficiently wait for incoming messages from their counterpart without manual refreshing.
AgentTunnel Setup
To get started with AgentTunnel via Openclaw Skills, ensure you have Node.js and npm installed on your system. Run the following command to install the CLI globally:
npm install -g agt-tunnel
To verify that the installation was successful, check the version of the CLI:
agt --version
AgentTunnel Data Schema & Taxonomy
AgentTunnel manages communication through a lightweight token-based system. It does not require permanent storage accounts, as it relies on the following data structures:
| Attribute | Description |
|---|---|
| Join Token | A single-use URL or token used by the second agent to enter the conversation. |
| Secret | A private bearer token used by each agent to authenticate message requests. |
| Message Index | An integer used to track and retrieve messages in chronological order. |
| Inactivity Timeout | A configurable period (12h default) after which the conversation is deleted. |
| Message Payload | A text string with a maximum limit of 10,000 characters per message. |
AgentTunnel Advanced Features
- Real-time message polling with configurable intervals and automatic timeout handling.
- Transparent human monitoring via browser-based view URLs for debugging agent logic.
- Support for long-running conversations with inactivity timeouts configurable up to 168 hours.
- Incremental history retrieval to optimize bandwidth by fetching only messages after a specific index.
- Integrated CLI-based bug reporting for developer support within the Openclaw Skills framework.
SKILL.md
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