Openclaw Mission Control

Mission Control

Coordinate a team of AI agents using a Kanban-style task board with HTTP API.

Overview

Mission Control lets you run multiple AI agents that collaborate on tasks:

• Team Lead: Creates and assigns tasks, reviews completed work
• Worker Agents: Poll for tasks via heartbeat, execute work, log progress
• Kanban Board: Visual task management at http://localhost:8080
• HTTP API: Agents interact via REST endpoints
• Local Storage: All data stored in JSON files — no external database needed

Quick Start

1. Install the Kanban Board

# Clone the Mission Control app
git clone https://github.com/0xindiebruh/openclaw-mission-control.git
cd mission-control

# Install dependencies
npm install

# Start the server
npm run dev

The board runs at http://localhost:8080.

2. Configure Your Agents

Edit lib/config.ts to define your agent team:

export const AGENT_CONFIG = {
  brand: {
    name: "Mission Control",
    subtitle: "AI Agent Command Center",
  },
  agents: [
    {
      id: "lead",
      name: "Lead",
      emoji: "🎯",
      role: "Team Lead",
      focus: "Strategy, task assignment",
    },
    {
      id: "writer",
      name: "Writer",
      emoji: "✍️",
      role: "Content",
      focus: "Blog posts, documentation",
    },
    {
      id: "growth",
      name: "Growth",
      emoji: "🚀",
      role: "Marketing",
      focus: "SEO, campaigns",
    },
    {
      id: "dev",
      name: "Dev",
      emoji: "💻",
      role: "Engineering",
      focus: "Features, bugs, code",
    },
    {
      id: "ux",
      name: "UX",
      emoji: "🎨",
      role: "Product",
      focus: "Design, activation",
    },
    {
      id: "data",
      name: "Data",
      emoji: "📊",
      role: "Analytics",
      focus: "Metrics, reporting",
    },
  ] as const,
};

3. Seed the Database (First Run)

Initialize the agents in the database:

curl -X POST http://localhost:8080/api/seed

This creates agent records from your lib/config.ts configuration. Safe to run multiple times — it only adds missing agents.

4. Configure OpenClaw Multi-Agent Mode

Add each agent to your ~/.openclaw/config.json:

{
  "sessions": {
    "list": [
      {
        "id": "main",
        "default": true,
        "name": "Lead",
        "workspace": "~/.openclaw/workspace"
      },
      {
        "id": "writer",
        "name": "Writer",
        "workspace": "~/.openclaw/workspace-writer",
        "agentDir": "~/.openclaw/agents/writer/agent",
        "heartbeat": {
          "every": "15m"
        }
      },
      {
        "id": "growth",
        "name": "Growth",
        "workspace": "~/.openclaw/workspace-growth",
        "agentDir": "~/.openclaw/agents/growth/agent",
        "heartbeat": {
          "every": "15m"
        }
      },
      {
        "id": "dev",
        "name": "Dev",
        "workspace": "~/.openclaw/workspace-dev",
        "agentDir": "~/.openclaw/agents/dev/agent",
        "heartbeat": {
          "every": "15m"
        }
      }
    ]
  }
}

Key fields:

• id: Unique agent identifier (must match an agent ID in lib/config.ts)
• workspace: Agent's working directory for files
• agentDir: Contains SOUL.md, HEARTBEAT.md, and agent personality
• heartbeat.every: Polling frequency (e.g., 5m, 15m, 1h)

5. Set up Agent Heartbeats

Each worker agent needs a HEARTBEAT.md in their agentDir:

# Agent Heartbeat

## Step 1: Check for Tasks

curl "http://localhost:8080/api/tasks/mine?agent=writer"

Step 2: Pick up todo tasks

curl -X POST "http://localhost:8080/api/tasks/{TASK_ID}/pick" \
  -H "Content-Type: application/json" \
  -d '{"agent": "writer"}'

Step 3: Log Progress

curl -X POST "http://localhost:8080/api/tasks/{TASK_ID}/log" \
  -H "Content-Type: application/json" \
  -d '{"agent": "writer", "action": "progress", "note": "Working on..."}'

Step 4: Complete Tasks

curl -X POST "http://localhost:8080/api/tasks/{TASK_ID}/complete" \
  -H "Content-Type: application/json" \
  -d '{
    "agent": "writer",
    "note": "Completed! Summary...",
    "deliverables": ["path/to/output.md"]
  }'

Step 5: Check for @Mentions

curl "http://localhost:8080/api/mentions?agent=writer"

Mark as read when done.

Create the agent directories:

mkdir -p ~/.openclaw/agents/{writer,growth,dev,ux,data}/agent mkdir -p ~/.openclaw/workspace-{writer,growth,dev,ux,data}

---

## Task Lifecycle

backlog → todo → in_progress → review → done │ │ │ │ │ │ │ └─ Team Lead approves │ │ └─ Agent completes (→ review) │ └─ Agent picks up (→ in_progress) └─ Team Lead prioritizes (→ todo)

---

## Team Lead Operations

### Creating a Task

curl -X POST http://localhost:8080/api/tasks \ -H "Content-Type: application/json" \ -d '{ "title": "Task title", "description": "Detailed description", "priority": "high", "assignee": "writer", "tags": ["tag1", "tag2"], "createdBy": "lead" }'

**Priority:** `urgent`, `high`, `medium`, `low`

### Moving to Todo

curl -X PATCH "http://localhost:8080/api/tasks/{id}" \ -H "Content-Type: application/json" \ -d '{"status": "todo"}'

### Approving Completed Work

curl -X PATCH "http://localhost:8080/api/tasks/{id}" \ -H "Content-Type: application/json" \ -d '{"status": "done"}'

### Adding Deliverable Path

curl -X PATCH "http://localhost:8080/api/tasks/{id}" \ -H "Content-Type: application/json" \ -d '{"deliverable": "path/to/file.md"}'

---

## Worker Agent Operations

### Picking Up Tasks

curl -X POST "http://localhost:8080/api/tasks/{id}/pick" \ -H "Content-Type: application/json" \ -d '{"agent": "{AGENT_ID}"}'

### Logging Progress

curl -X POST "http://localhost:8080/api/tasks/{id}/log" \ -H "Content-Type: application/json" \ -d '{ "agent": "{AGENT_ID}", "action": "progress", "note": "Updated the widget component" }'

**Actions:** `picked`, `progress`, `blocked`, `completed`

### Completing a Task

curl -X POST "http://localhost:8080/api/tasks/{id}/complete" \ -H "Content-Type: application/json" \ -d '{ "agent": "{AGENT_ID}", "note": "Completed! Summary of changes...", "deliverables": ["docs/api.md", "src/feature.js"] }'

Deliverables render as markdown in the task view.

---

## Comments & @Mentions

### Adding a Comment

curl -X POST "http://localhost:8080/api/tasks/{id}/comments" \ -H "Content-Type: application/json" \ -d '{ "author": "agent-id", "content": "Hey @other-agent, need your input here" }'

### Checking for @Mentions

curl "http://localhost:8080/api/mentions?agent={AGENT_ID}"

### Marking Mentions as Read

curl -X POST "http://localhost:8080/api/mentions/read" \ -H "Content-Type: application/json" \ -d '{"agent": "{AGENT_ID}", "all": true}'

---

## API Reference

### Tasks

| Endpoint                     | Method | Description              |
| ---------------------------- | ------ | ------------------------ |
| `/api/tasks`                 | GET    | List all tasks           |
| `/api/tasks`                 | POST   | Create new task          |
| `/api/tasks/{id}`            | GET    | Get task detail          |
| `/api/tasks/{id}`            | PATCH  | Update task fields       |
| `/api/tasks/{id}`            | DELETE | Delete task              |
| `/api/tasks/mine?agent={id}` | GET    | Agent's assigned tasks   |
| `/api/tasks/{id}/pick`       | POST   | Agent picks up task      |
| `/api/tasks/{id}/log`        | POST   | Log work action          |
| `/api/tasks/{id}/complete`   | POST   | Complete task (→ review) |
| `/api/tasks/{id}/comments`   | POST   | Add comment              |