OpenClaw Agent Development Experience: Roles, Tools & Collaboration
2026-03-18
10 min
DevelopmentPractice
Sharing practical experience in developing specialized Agents. How to define role personalities, select tool sets, design collaboration workflows, and lessons learned.
Starting Point: The SOUL.md
Every agent starts with a SOUL.md file that defines:
- Name & Identity — who they are
- Mission — what they're here to do
- Personality — how they communicate
- Relationships — who they work with
Tool Selection
Less is more. Each agent gets only the tools they need:
- Content Agent — write, edit, feishu_doc
- Research Agent — web_search, web_fetch, browser
- Code Agent — exec, read, write, edit
- Design Agent — canvas, image
Collaboration Patterns
Agents don't work in isolation. We designed common patterns:
- Handoff — agent A completes, passes to agent B
- Review — agent A creates, agent B reviews
- Swarm — multiple agents work in parallel, merge results
Lessons Learned
After months of development, here's what we learned:
- Start with identity, not rules
- Limit tools to prevent confusion
- Design handoffs explicitly
- Shared memory is critical
- Heartbeat checks keep everyone aligned
Common Mistakes
- Overloading one agent with too many responsibilities
- Not defining clear handoff points
- Forgetting to update shared memory
- Too many tools leads to decision paralysis
Key Takeaways
- Identity > Rules for agent behavior
- Minimal tool sets improve focus
- Explicit collaboration patterns prevent chaos
- Shared memory is the team's brain
*Related: How to Build an AI Team | The More Rules You Write*