AI Frameworks · builderz-labs

mission-control

Mission Control is a self-hosted dashboard for managing AI agent fleets, dispatching tasks, and tracking costs across multi-agent workflows. It runs on SQLite with no external dependencies, offering role-based access, real-time updates, and built-in security controls like trust scoring and secret detection.

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Source: GitHub — github.com/builderz-labs/mission-control

5.6k

GitHub stars

957

Forks

TypeScript

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	builderz-labs/mission-control
Owner	builderz-labs
Primary language	TypeScript
License	MIT — OSI-approved
Stars	5.6k
Forks	957
Open issues	4
Latest release	v2.1.0 (2026-07-04)
Last updated	2026-07-06
Source	https://github.com/builderz-labs/mission-control

What mission-control is

TypeScript/Next.js 16 application providing REST API orchestration for heterogeneous agent frameworks (OpenClaw, CrewAI, LangGraph, AutoGen, Claude SDK). Features WebSocket/SSE real-time updates, RBAC with session and API key auth, cron-based task scheduling, and a modular skills hub with bidirectional disk↔DB sync.

Quickstart

Get the mission-control source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/builderz-labs/mission-control.git2cd mission-control3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Centralized multi-agent workflow governance

Coordinate specialist agents (research, coding, review) with quality gates, audit trails, and operator sign-off — no external orchestration platform needed.

Local-first AI operations center

Deploy a single SQLite-backed control plane in 5 minutes on VPS, laptop, or Docker without Redis/Postgres infrastructure, ideal for teams avoiding cloud lock-in.

CLI tool integration without re-platforming

Integrate existing Claude Code, Codex, or custom CLI agents through a unified dashboard while maintaining your current workflows and adding centralized observability.

Implementation considerations

Alpha software: plan for breaking schema/API changes on upgrades; version lock or sandbox early deployments to non-critical workflows.
Requires Node.js 22+, pnpm, and basic Docker/Compose knowledge for production; Linux/Mac easier than Windows (PowerShell script available).
SQLite performance plateau: monitor if agent count or task volume exceeds ~10k concurrent tasks; Postgres migration needed at scale.
Stateful SQLite database: backup strategy, recovery procedures, and single-point-of-failure planning essential before production rollout.
Gateway-optional mode available; can run as pure task/project board without agent connections, but real-time session updates require active gateway.

When to avoid it — and what to weigh

Require production-grade ACID database — SQLite is file-based; scaling to concurrent high-throughput workloads requires migration to Postgres. Not suitable for large distributed deployments out-of-box.
Need battle-tested, stable APIs — Project explicitly states alpha status with APIs, schemas, and configs subject to breaking changes between releases. Not recommended for long-term production lock-in without upgrade tolerance.
Require comprehensive managed SaaS offering — Self-hosted only; no official hosting, managed backups, SLAs, or commercial support tier mentioned. Operations burden falls entirely on your team.
Strict compliance/audit requirements — While RBAC and audit logging are present, no mention of SOC 2, FedRAMP, HIPAA, or data residency guarantees. Requires security review before regulated use.

License & commercial use

MIT License — permissive, OSI-approved, allows commercial use, modification, and distribution with only attribution required. No copyleft obligations.

MIT license explicitly permits commercial use without restrictions. However, this is alpha software with no SLAs, vendor support, or indemnification. Commercial deployments should conduct security review, establish internal support processes, and plan for API/schema breaking changes. Use "at your own risk" for production revenue-critical workflows.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Strong
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Strong
Assessment confidence	High

Security considerations

Project implements RBAC (viewer/operator/admin), session+API key auth, Google Sign-In with approval workflow, trust scoring, secret detection, MCP call auditing, and hook profiles (minimal/standard/strict). Docker hardened profile includes read-only filesystem, capability dropping, HSTS, network isolation. Alpha status and SQLite single-point-of-failure warrant caution; external security audit not mentioned. Deployment hardening docs exist but org-wide secrets management, encryption at rest, and audit log retention not detailed.

Alternatives to consider

Prefect / Dagster

Mature open-source workflow orchestrators with multi-user dashboards, cloud-native scaling, and strong commercial support. Higher operational complexity; designed for data pipelines over agentic tasks.

Anthropic Claude SDK + LangGraph Web UI

No separate tool; use Claude directly with LangGraph for agent orchestration and LangSmith for observability. Lower abstraction overhead but less unified governance and cost tracking.

OpenAI Swarm (reference implementation)

Lightweight, code-first agent orchestration without UI. Suitable for developers preferring local Python scripts over a dashboard; no cost tracking or RBAC.

Software development agency

Build on mission-control with DEV.co software developers

Clone the repo, run `bash install.sh --local`, and launch your first control center in 5 minutes. Full docs and API reference included.

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mission-control FAQ

Can I use Mission Control without a gateway?

Yes. Set NEXT_PUBLIC_GATEWAY_OPTIONAL=true. Task board, projects, agents, sessions, scheduler, webhooks, alerts, and cost tracking work standalone. Real-time session updates and agent messaging require an active gateway.

Is Mission Control production-ready?

No. Project explicitly labels itself alpha with breaking changes expected. Suitable for early-stage deployments and non-critical workflows. Review security considerations before regulated or revenue-critical use.

What database scaling strategy is recommended?

SQLite default works for small-to-medium workloads. Monitor at ~10k concurrent tasks; migrate to Postgres for higher concurrency. Backup and recovery procedures are your responsibility.

How do I integrate my existing CLI agents?

Use the CLI Integration layer to connect Claude Code, Codex, or custom CLI tools. Keep current workflows while adding centralized observability via REST API or curl polling.

Software development & web development with DEV.co

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If mission-control is part of your ai frameworks roadmap, our team can implement, customize, migrate, and maintain it.

Ready to orchestrate your AI agents?

Clone the repo, run `bash install.sh --local`, and launch your first control center in 5 minutes. Full docs and API reference included.

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