Mission Control
Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.
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What is Mission Control?
Mission Control is an open-source, self-hosted AI agent orchestration dashboard that provides a single control plane for managing AI agent fleets. It gives teams complete visibility into agent sessions, logs, memory, and token usage while enabling task coordination, workflow automation, and cost tracking—all without external dependencies. The platform runs locally with just one pnpm start command and is MIT licensed with zero forced telemetry.
Key features include a six-column Kanban task board with drag-and-drop and threaded collaboration, real-time monitoring with live session replay and log viewer, per-agent cost tracking with token usage breakdowns, and built-in quality gates (Aegis) that block task completion without sign-off. The platform supports natural language recurring task scheduling, Claude Code session auto-discovery, memory knowledge graph visualization, bidirectional GitHub Issues sync, and a Skills Hub with security scanning for prompt injection and credential leaks.
Mission Control is designed for developers and teams running AI agents in production or development—including solo developers, startups, product teams, automation agencies, and internal AI platforms. It supports six framework adapters (OpenClaw, CrewAI, LangGraph, AutoGen, Claude SDK, and generic fallback), making it compatible with Claude, Codex, OpenClaw, and any custom agent stack that can make HTTP calls.
Mission Control pricing
Pricing model: Freemium
Mission Control is 100% free and open-source under MIT License for self-hosted use with no feature gates, no usage limits, and no forced telemetry. The upcoming Pro tier starts at $29/mo for teams and adds managed cloud hosting, agent-as-customer self-service, billing integration, and zero-setup deployment (under 60 seconds). Self-hosted stays free forever while Pro provides hosted control plane options.
Mission Control pros
- 1.8k+ GitHub stars with 270+ forks proving community adoption
- 100% open-source MIT license with zero restrictions
- Self-hosted on your infrastructure with no forced telemetry
- 31 panels and 98 API endpoints for comprehensive control
- 460 tests (165 unit + 295 E2E) ensuring reliability
- Real-time session replay and debugging with live updates
- Memory knowledge graph visualization for agent relationships
- Per-agent token usage and cost breakdowns with trend charts
- Six built-in framework adapters covering major agent platforms
- Six-column Kanban with drag-and-drop and threaded comments
- Natural language recurring task scheduling with cron parser
- Aegis quality gates with automated review and sign-off blocking
- Bidirectional GitHub Issues sync with label and assignee mapping
- Built-in security scanner for prompt injection and credential leaks
- Claude Code session auto-discovery without gateway setup
- WebSocket and SSE push updates with smart polling
- RBAC with viewer/operator/admin roles for team governance
- One-click self-update with audit logging and dirty tree rejection
- Multi-gateway support with OS-level discovery and health probes
- HMAC-SHA256 webhook signatures with circuit breaker protection
Mission Control cons
- Pro features (managed hosting) still in waitlist, not yet available
- Self-hosting requires technical setup knowledge (git, pnpm, .env)
- SQLite database may limit scalability for very large fleets
- No native mobile app for on-the-go monitoring
- Agent-as-customer self-service only available in future Pro tier
- Billing integration only coming in Pro tier
- Priority support with guaranteed response times only for Pro users
- Multi-project support requires manual ticket prefix configuration
Frequently asked questions about Mission Control
What is Mission Control?
Mission Control is an open-source dashboard for managing AI agent systems. It gives you a single interface to monitor sessions, track tasks, view logs, manage costs, and orchestrate workflows across your entire agent fleet—whether you're running one agent or dozens.
Who is Mission Control for?
Developers and teams running AI agents in production or development. If you use Claude, Codex, OpenClaw, or any custom agent stack and need visibility into what your agents are doing—task progress, token spend, errors, logs—Mission Control is built for you. Solo devs, startups, and enterprises all use it.
Is Mission Control really open source?
Yes—100% open source under MIT License. Self-host it on your own infrastructure with zero restrictions. No feature gates, no usage limits, no phone-home telemetry.
Which AI agent frameworks does Mission Control support?
Six built-in framework adapters: OpenClaw, CrewAI, LangGraph, AutoGen, Claude SDK, and a generic fallback. Each normalizes registration, heartbeats, and task reporting. Any agent that can make HTTP calls can connect via REST API and WebSocket.
How do agents connect to Mission Control?
Agents register via a simple REST API call. Once registered, they can report status, stream logs, manage tasks, and receive commands—all through authenticated WebSocket connections.
Can I run Mission Control in production?
Yes. Mission Control uses SQLite (WAL mode) with 36 schema migrations, supports WebSocket and SSE for real-time data, has 165 unit tests and 295 E2E tests, and runs behind any reverse proxy. Teams are running it in production today with 98 API endpoints across 31 panels.
What's the difference between self-hosted and Pro?
Self-hosted gives you the full platform on your own infrastructure. Pro (coming soon) adds managed cloud hosting, agent-as-customer self-service, billing integration, and zero-setup deployment.
How do I get support if I'm stuck?
Open an issue on GitHub, join the Telegram community, or check the wiki. For Pro users, we offer priority support with guaranteed response times. Still blocked? Get setup help from docs, community, or the Builderz team.
How do I set up Mission Control locally?
Run one copy-paste block: git clone https://github.com/builderz-labs/mission-control.git && cd mission-control && pnpm install && cp .env.example .env && pnpm dev. This gets a live dashboard, session streams, and task orchestration running on your machine in under 10 minutes.
When will Mission Control Pro launch?
Pro is coming soon. You can join the waitlist for launch updates and early access invites. They'll send one email when Pro is ready, with no spam.