Department Manager

Manage a team of AI sub-agents organized into departments. Use when you need to delegate tasks to specialized agents, track department outputs, assign roles,...

Organize your AI workers into departments. Assign tasks, track output, and coordinate multi-agent teams like a CEO.

Why This Exists

Running an autonomous business or complex project means juggling multiple tasks across different domains: content, research, code, marketing, operations. Instead of doing everything sequentially, organize your workers into departments and delegate in parallel.

Commands

Create a department

python3 {baseDir}/scripts/departments.py create --name "content" --description "SEO blog posts, marketing copy, newsletters" --model "arcee-ai/trinity-large-preview:free"

List departments

python3 {baseDir}/scripts/departments.py list

Assign a task to a department

python3 {baseDir}/scripts/departments.py assign --dept "content" --task "Write a blog post about OpenClaw memory system" --priority high

Check department status

python3 {baseDir}/scripts/departments.py status --dept "content"

View all active tasks across departments

python3 {baseDir}/scripts/departments.py active

Complete a task

python3 {baseDir}/scripts/departments.py complete --task-id 1 --output "Blog post written and saved to drafts/memory-post.md"

Department report (summary of all departments)

python3 {baseDir}/scripts/departments.py report

Remove a department

python3 {baseDir}/scripts/departments.py remove --name "content"

Recommended Department Structure

Department	Model	Responsibilities
content	arcee-ai/trinity-large-preview:free	Blog posts, marketing copy, newsletters
research	stepfun/step-3.5-flash:free	Market research, competitor analysis, data gathering
engineering	openrouter/free	Code generation, bug fixes, tooling
operations	(manual/CEO)	Budget, strategy, communications
security	(manual/CEO)	Skill scanning, threat assessment, audits

Data Storage

Department data stored in ~/.openclaw/department-manager/departments.json.

Tips

• Create departments based on your actual workflow, not hypothetical needs
• Assign one default model per department for consistency
• Review completed tasks before publishing — QA is the CEO's job
• Use priority levels to focus workers on what matters now
• Run report at the end of each day for a team overview