OpenClaw was built as a personal AI assistant. One agent, one person, one machine.
But here's the thing about powerful tools — people find ways to share them. Across Discord and Reddit, a growing number of users are running OpenClaw as a shared resource. Dev teams are routing tasks through multiple agent sessions, while startups are building entire operational workflows on top of its architecture.
In this guide, we'll explore how to set up OpenClaw for teams properly, from basic shared access to advanced multi-agent coordination.
The Gateway Architecture: Why Sharing Works
Unlike cloud-based AI assistants (where each user needs their own isolated account), OpenClaw runs on your own hardware. The Gateway is the central process that handles all the AI interaction, tool execution, and session management. It can run on a Mac, a Linux server, or even a Raspberry Pi.
The key insight is this: one single Gateway can serve multiple sessions simultaneously. Each session is accessible through different messaging channels — WhatsApp, Telegram, Slack, Discord, Microsoft Teams, or WebChat.
This means your team doesn't need separate installations. Everyone connects to the same Gateway through whatever chat app they already use.
Each user gets their own isolated session with its own memory, context files, and conversation history.
How to Set Up the Gateway for a Team
To get started, you need to ensure your OpenClaw Gateway is configured to accept connections from multiple clients. In your openclaw.json file, you'll configure the necessary channel plugins (e.g., Slack or Discord).
Isolation vs. Sharing
While the chat sessions are separate, all agents running on the same Gateway share the same host environment. This has important security and collaboration implications:
- If you give OpenClaw full filesystem access, all users on the team will indirectly have that same access.
- You can use MCP (Model Context Protocol) servers to scope permissions or set up separate workspaces for each session.
Multi-Agent Setup
The real magic happens when routing complex tasks to specialized sub-agents. You can configure your OpenClaw so an "orchestrator agent" on Slack delegates code writing to one agent on a dedicated server and research to another.
For dev teams, this transforms OpenClaw from a simple chatbot into a full-fledged "ghost collaborator" that participates in code reviews, monitors logs, and summarizes Slack threads.
The era of personal AI is quickly evolving into collaborative AI. And with OpenClaw, you have total control over how to build your ideal team.