OpenClaw Multi-Agent Guide: Setup, Routing, Isolation, and Use Cases

A single OpenClaw agent is enough for many users. Multi-agent setups matter when you need separation of privilege: public support vs internal ops, research vs send-actions, or per-brand voice.

When multiple agents help

• Different trust zones — customer Telegram vs founder DM
• Different models — cheap triage agent + strong drafting agent
• Different skill packs — support macros vs engineering tools
• Compliance — EU data stays on EU instance

Routing patterns

1. Channel-based routing

Map each remote channel to one agent:

• @BrandSupportBot → support agent (read-only CRM)
• @FounderBot → exec agent (calendar + tasks)

2. Intent-based routing

A router agent classifies inbound messages, then hands off. Use only if you monitor misroutes — wrong handoffs are expensive.

3. Human queue + specialist agents

Triage agent labels tickets; human picks up; specialist agent drafts resolution.

Isolation checklist

Multi-agent on One Claw vs homelab

Self-hosted multi-agent means more containers, more tokens, more TLS endpoints. Managed OpenClaw collapses ops:

• Spin workspaces per team or brand
• Connect channels inside the product UI
• Share skills library where appropriate

Start simple

1. One agent until workflows repeat
2. Split on privilege, not on vanity roles
3. Document which agent may send externally

Next: Remote channels one inbox · Setup tutorial