Mastering Mission Control: How to Orchestrate Multiple AI Agents

Mission Control is Google Antigravity's killer feature. It's a dashboard that lets you spawn, monitor, and coordinate multiple AI agents working in parallel.

This guide teaches you how to use Mission Control like a pro.

What is Mission Control?

Mission Control is a visual dashboard showing:
* Active agents and their tasks
* Progress on each task
* Dependencies between tasks
* Real-time updates
* Resource usage

Think of it as a project management tool for AI agents.

Opening Mission Control

Keyboard Shortcut: `Cmd+Shift+M` (Mac) or `Ctrl+Shift+M` (Windows/Linux)

Or: Click the Mission Control icon in the sidebar

The Mission Control Interface

Main Panels

1. Agent List (Left): All active agents
2. Task Board (Center): Kanban-style task view
3. Timeline (Bottom): Chronological view of work
4. Resources (Right): CPU, memory, API usage

Agent Card

Each agent has a card showing:
* Name
* Role
* Current task
* Progress (%)
* Status (Working, Waiting, Blocked, Done)

Spawning Agents

Method 1: Quick Spawn

1. Click “+” button
2. Choose agent type:
* Builder (creates features)
* Tester (runs tests)
* Optimizer (improves performance)
* DevOps (handles deployment)
* Custom (define your own)
3. Enter task description
4. Click “Spawn”

Method 2: Advanced Spawn

1. Click “Advanced Spawn”
2. Configure:
* Name: Agent identifier
* Role: What the agent does
* Context: Files/folders to focus on
* Constraints: Rules to follow
* Dependencies: Wait for other agents
3. Click “Spawn”

Example: Spawning a Builder Agent

Name: “Feature-Auth”
Role: “Build authentication feature”
Context: `@src/auth/*`
Constraints:
“`markdown
– Use JWT for tokens
– Hash passwords with bcrypt
– Add rate limiting
– Write tests
“`
Dependencies: None

Managing Agents

Pausing an Agent

Click the agent card > “Pause”

Use Case: You need to review the code before the agent continues.

Resuming an Agent

Click the agent card > “Resume”

Stopping an Agent

Click the agent card > “Stop”

Warning: This discards the agent's progress.

Providing Feedback

Click the agent card > “Send Message”

Example:
> “The login form looks good, but add a ‘Forgot Password' link.”

The agent updates its work based on your feedback.

Coordinating Multiple Agents

Scenario: Building a Full-Stack Feature

Goal: Add a “Comments” feature to a blog

Agents:
1. Backend Agent: Create API endpoints
2. Frontend Agent: Create UI components
3. Database Agent: Update schema
4. Tester Agent: Write tests

Setting Up Dependencies

1. Spawn Database Agent first
2. Spawn Backend Agent with dependency: “Wait for Database Agent”
3. Spawn Frontend Agent with dependency: “Wait for Backend Agent”
4. Spawn Tester Agent with dependency: “Wait for Frontend Agent”

Mission Control ensures agents run in the correct order.

Parallel Execution

If tasks are independent, agents run in parallel:
* Agent A: Build user profile page
* Agent B: Build settings page

Both run simultaneously, doubling productivity.

The Task Board

Columns

* Backlog: Tasks not yet started
* In Progress: Agents working on these
* Review: Waiting for your approval
* Done: Completed tasks

Drag and Drop

Drag tasks between columns to change priority or status.

Creating Tasks Manually

1. Click “+” in Backlog
2. Enter task description
3. Assign to an agent (or leave unassigned)

The Timeline View

What It Shows

A chronological view of all agent activity:
* When each agent started
* When tasks were completed
* Idle time
* Bottlenecks

Use Cases

* Identify slow agents
* Find dependencies causing delays
* Optimize workflow

Resource Monitoring

CPU Usage

Shows how much compute each agent is using.

High CPU: Agent is doing heavy processing (e.g., running tests)
Low CPU: Agent is waiting (e.g., for your feedback)

Memory Usage

Shows RAM usage per agent.

High Memory: Agent has large context loaded

API Usage

Shows how many AI API calls each agent has made.

Use Case: Track costs and stay under budget.

Advanced Features

1. Agent Templates

Save common agent configurations:

1. Configure an agent
2. Click “Save as Template”
3. Name it (e.g., “React Component Builder”)
4. Reuse later with one click

2. Workflows

Automate multi-agent processes:

“`yaml
name: “Full-Stack Feature”
agents:
– name: “Database”
role: “Update schema”
– name: “Backend”
role: “Create API”
depends_on: [“Database”]
– name: “Frontend”
role: “Build UI”
depends_on: [“Backend”]
– name: “Tester”
role: “Write tests”
depends_on: [“Frontend”]
“`

Run the entire workflow with one click.

3. Agent Communication

Agents can talk to each other:

Frontend Agent to Backend Agent:
> “What's the API endpoint for fetching comments?”

Backend Agent responds:
> “GET /api/comments/:postId”

4. Rollback

If an agent makes a mistake:
1. Click the agent card
2. Click “Rollback”
3. Choose how far back to roll back
4. Agent undoes its changes

Best Practices

1. Start Small

Don't spawn 10 agents at once. Start with 2-3 and add more as needed.

2. Clear Task Descriptions

Vague tasks lead to poor results. Be specific:

Bad: “Improve the app”
Good: “Add loading spinners to all async operations”

3. Monitor Progress

Check Mission Control regularly. Don't let agents run unsupervised for hours.

4. Use Dependencies Wisely

Only add dependencies when necessary. Too many dependencies slow things down.

5. Review Before Merging

Always review agent work before committing to main branch.

Troubleshooting

Issue: Agent is Stuck

Symptoms: Progress at 0% for >5 minutes

Solutions:
1. Check if agent is waiting for feedback
2. Check if agent is blocked by a dependency
3. Restart the agent

Issue: Agents Conflict

Symptoms: Two agents editing the same file

Solutions:
1. Pause both agents
2. Review changes
3. Manually merge
4. Resume agents

Issue: High Resource Usage

Symptoms: Computer is slow

Solutions:
1. Reduce number of active agents
2. Close unused agents
3. Reduce context window size

Conclusion

Mission Control transforms how you work with AI. Instead of writing code, you orchestrate agents. It's a paradigm shift from “developer” to “AI manager.”

At BYS Marketing, we use Mission Control to coordinate complex projects. We can have 5+ agents working simultaneously, each on a different part of the system.

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Want to master AI orchestration?
Contact BYS Marketing. We offer training on advanced Antigravity features.