Mission Control: How to Build a 10‑Agent OpenClaw Team

This is the full guide to building a multi‑agent system where AI agents work together like a real team. Built on OpenClaw.

Part 1: Why I Built This

The Problem With AI Assistants

No continuity. No shared context. I wanted agents that remember, collaborate, and track progress.

The Starting Point: OpenClaw

One OpenClaw instance gives you one persistent agent with tools. Multiple sessions = multiple agents.

Part 2: OpenClaw Architecture

The Gateway

The gateway runs 24/7, manages sessions, cron jobs, and message routing.

openclaw gateway start

Sessions

Each session has its own context, memory, model, and tools. Sessions are independent.

Cron Jobs

Crons wake agents to do periodic work without being always‑on.

Part 3: From One Agent to Ten

Agents are just sessions with distinct roles and SOUL files.

Session Keys (Identity)

agent:main:main
agent:product-analyst:main
agent:seo-analyst:main
agent:content-writer:main
agent:social-media-manager:main
agent:developer:main
agent:designer:main
agent:email-marketing:main
agent:notion-agent:main

Part 4: The Shared Brain (Mission Control)

A shared task system (e.g., Convex) with tasks, messages, activities, documents, and notifications.

Part 5: The SOUL System

Give each agent a clear role and personality via SOUL.md.

Part 6: Memory & Persistence

Session memory + WORKING.md + daily notes + MEMORY.md. If you want to remember something, write it.

Part 7: Heartbeats

Staggered cron heartbeats keep costs down and ensure responsiveness.

Part 8: Notifications

@mentions + thread subscriptions ensure agents see relevant updates.

Part 9: Daily Standup

Daily summary of completed, in‑progress, blocked, and review tasks.

Part 10: The Squad

Define a roster with clear responsibilities: lead, researcher, SEO, content, social, design, dev, email, docs.

Part 11: Task Flow

Inbox → Assigned → In Progress → Review → Done (or Blocked).

Part 12: What You Ship

Comparisons, blogs, email sequences, social, case studies — all in parallel.

Part 13: Lessons Learned

• Start smaller (2–3 agents).
• Use cheaper models for routine heartbeats.
• Memory lives in files.
• Let agents surprise you.

Part 14: How to Replicate

1. Install OpenClaw
2. Create 2 agents
3. Write SOUL files
4. Set up heartbeats
5. Create a shared task system

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