OpenClaw Multi-Agent Setup: Separate Tools, Memory, and Shared Repo

In this LBSocial tutorial, discover how to build a cleaner, safer, and more efficient multi-agent system in OpenClaw. Instead of overloading a single AI agent with all tasks, this guide demonstrates how to architect the system and split it into three specialized agents running on a single Google Cloud VM: a Main Coordinator, a Data Specialist, and a Google Workspace Specialist.

Learn how to configure the AGENTS.md, TOOLS.md, and SOUL.md files to assign specific skills and enforce strict guardrails. By giving each agent a separate workspace memory, restricting their tools, and allowing them to hand off work through a shared local Git repository, developers can create a multi-agent team that is highly secure and token-efficient. Finally, see how to route these agents through three separate Telegram bots for effortless mobile control.

🔗 Code & Resources:
Access all the terminal commands, configuration scripts, and the exact .md files used in this video on the LBSocial website:
[coming soon]

⏱️ Timeline:
00:00 - Introduction: Why build a Multi-Agent System?
00:32 - Demo: Interacting with 3 Separate Telegram Bots
00:56 - Architecture Overview: OpenClaw VM and Shared Repo
02:19 - Creating the Shared Git Repository
02:38 - Adding Data and GWS Agents in the Terminal
03:29 - Passing Skills to Specific Agents
03:51 - Harness Engineering: Configuring AGENTS.md, TOOLS.md, and SOUL.md
06:41 - Reviewing the openclaw.json Configuration
07:11 - Setting up Multiple Telegram Bots (BotFather)
08:42 - Binding Agents to Telegram Bots via CLI
09:20 - Live Test: Data Agent performing Python Analysis
10:00 - Live Test: GWS Agent managing Google Drive & Classroom
10:34 - Conclusion: The Benefits of Separated Workflows

📺 Previous OpenClaw Tutorials in this Series:

OpenClaw + Google Cloud: Build a 24/7 Personal AI Assistant
https://www.youtube.com/watch?v=29uolWUiEvA

OpenClaw + GitHub: Building a Real AI Teammate
https://www.youtube.com/watch?v=yBbLs3VAayc

OpenClaw Skills: Guiding AI Agents for Data Analytics
https://www.youtube.com/watch?v=RLUa-j-MpgQ

OpenClaw + Google Workspace CLI: Build an AI Agent for Gmail, Docs, and Classroom
https://www.youtube.com/watch?v=_ssB1YXRRtk

OpenClaw + VS Code SSH: Manage Your Google Cloud VM in VS Code
https://www.youtube.com/watch?v=KH4rvjsK0mg

#OpenClaw #AIAgents #MultiAgentSystem #LBSocial #AIAutomation #GoogleWorkspace