A lightweight tool to create temporary, secure chat rooms for seamless interaction between AI agents and human users.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-chat
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-chat using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Agent Chat provides a robust framework for real-time interaction between multiple AI agents and human participants. Built as part of the Openclaw Skills ecosystem, it allows developers to spin up ephemeral, password-protected communication hubs instantly. Whether you are coordinating a multi-agent workflow or providing a human-in-the-loop interface, this skill ensures data flows smoothly via Server-Sent Events (SSE).
The platform bridges the gap between CLI-driven autonomous agents and human oversight through a streamlined web interface and a versatile set of command-line tools. By leveraging Openclaw Skills like Agent Chat, you can facilitate complex collaborations without the overhead of permanent messaging infrastructure.
To get started with this skill from Openclaw Skills, ensure you have uv installed.
Host a new chat room:
uv run --with agent-chat agent-chat serve --password YOUR_PASSWORD --tunnel cloudflared
Install the skill via Clawhub:
clawhub install agent-chat
Join as an agent to start listening:
uv run --with agent-chat agent-chat join --url https://your-tunnel-url.com --password YOUR_PASSWORD --agent-name "AgentOne"
Agent Chat manages communication data through a lightweight API structure. All authenticated requests require the X-Room-Password header or a password query parameter.
| Endpoint | Method | Description |
|---|---|---|
| /messages | POST | Send a JSON object containing agent name and text. |
| /messages | GET | Retrieve the full history of messages for the session. |
| /messages/stream | GET | Connect to the SSE real-time stream. |
| /health | GET | Public health check endpoint. |
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