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Mission Control

Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.

Install

$docker run --rm -p 3000:3000 ghcr.io/builderz-labs/mission-control:latest
Claude Code
claude mcp add mission-control -- docker run --rm -p 3000:3000 ghcr.io/builderz-labs/mission-control:latest
Cursor / Claude Desktop (mcp.json)
{
  "mcpServers": {
    "mission-control": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-p",
        "3000:3000",
        "ghcr.io/builderz-labs/mission-control:latest"
      ]
    }
  }
}

Install command taken from the project's README or registry entry. Always review code before running it.

Mission Control

Self-hosted control plane for operating AI agents.

Dispatch tasks, inspect runs, review failures, track spend, and coordinate agent runtimes from one local dashboard backed by SQLite.

An open-source project by Builderz Labs, created and maintained by nyk. It works with OpenClaw, Claude Code, Codex, and other runtimes - it is not part of any one of them.

[!WARNING] Mission Control is alpha software. APIs, schemas, and configuration may change between releases. Read the security guidance before exposing it to a network.

Start locally

Node.js 22 or newer and pnpm are required for a source install.

git clone https://github.com/builderz-labs/mission-control.git
cd mission-control
bash install.sh --local

Open http://localhost:3000/setup, create the first admin account, then copy the API key from Settings if an agent or script needs headless access.

The manual path is useful when you already manage Node and pnpm:

nvm use 22
pnpm install
pnpm dev

Windows users can run ./install.ps1 -Mode local in PowerShell.

Start with Docker

docker compose up

Or run the published multi-architecture image:

docker pull ghcr.io/builderz-labs/mission-control:latest
docker run --rm -p 3000:3000 ghcr.io/builderz-labs/mission-control:latest

Use the hardened Compose overlay for a network-accessible deployment:

docker compose -f docker-compose.yml -f docker-compose.hardened.yml up -d

The deployment guide covers persistent data, TLS termination, gateway connectivity, and standalone builds.

What Mission Control governs

The control plane sits above agent runtimes. It does not replace their reasoning or tool loops. It gives operators one place to see and govern the work around those loops.

Area Shipped surface
Tasks Inbox, assignment, execution, review, Aegis quality gate, and completion receipts
Agents Registration, presence, sessions, runtime adapters, configuration, and workspace sync
Operations Activity stream, schedules, alerts, webhooks, logs, token use, and cost views
Knowledge Memory browser, relationship graph, skills registry, and local skill synchronization
Governance Roles, API keys, security events, trust signals, approvals, audits, and evals
Interfaces Web UI, CLI, MCP server, OpenAPI-described REST API, WebSocket, and SSE

The runtime is self-hosted and workspace-aware. SQLite stores local control-plane state. Shared workspaces can use deployment-level runtime integrations. Strict workspaces block those integrations until the underlying resources carry workspace ownership. A gateway is optional for task, project, agent, scheduler, webhook, alert, and cost work; live session messaging needs a connected runtime gateway.

Operator field notes

Dashboards compress a sequence into current state. When a run needs review, record the identity, task, tool call, approval, result, and verification evidence before changing it. Keep unresolved items distinct from accepted risk.

Logs show what ran. A completion receipt or inspected artifact shows what finished.

Pick the right fit

Use Mission Control when multiple agents or runtimes make it hard to answer who owns a task, what executed, which result passed review, or where spend and failures accumulated.

It is probably the wrong tool when:

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