Guide
March 09, 2026
4 min read
Team Ready: OpenClaw scales from personal use to entire teams with multi-agent routing, shared resources, and team collaboration features.
Personal vs Team Deployment
Personal OpenClaw usage is simple, install, configure, and use. Team deployments require planning around:
- User isolation: Each user has their own agent and memory
- Resource sharing: Balanced API usage across team members
- Centralized configuration: Team-wide settings and policies
- Security boundaries: Proper access controls and data separation
Multi-Agent Architecture
OpenClaw's multi-agent routing allows multiple users to share a single OpenClaw instance while maintaining isolation:
openclaw routing add --user="alice" --agent="alice-agent"
openclaw routing add --user="bob" --agent="bob-agent"Team Configuration Management
openclaw config set team.mode=true
openclaw config set team.shared_skills=trueResource Allocation
openclaw config set resources.per_user_max_tokens=100000
openclaw config set resources.per_user_rate_limit=60Shared Knowledge Base
Create team-specific knowledge that all agents can access:
openclaw knowledge create --team --name="company-wiki"Monitoring Team Usage
openclaw analytics team --breakdown-by-userDeployment Options
- Single server: Good for small teams (5-10 users)
- Containerized: Docker deployment for better isolation
- Cloud: OpenClawd AI managed hosting
- Distributed: Multiple gateways for large teams
Deploy for Your Team
Multi-Gateway GuideSource trail, checked September 11, 2026. Official gateway/health docs and cli/health docs are the current reference points. Check your installed version before running a command from this archive page.
Reference Trail
Sources and further reading
- Official gateway/health docsdocs.openclaw.ai
- cli/health docsdocs.openclaw.ai