CrewAI
A Python framework for orchestrating crews of role-based AI agents that split a job into tasks and pass results to each other.
Install & harden · $249 one-time | Hosted & monitored · $99/mo
What it does
Defines agents with roles, goals and tools (a researcher, a writer, a reviewer) and lets them collaborate on one brief.
Runs tasks sequentially or hierarchically, with outputs from one agent feeding the next.
Connects agents to tools: web search, file access, APIs and custom Python functions.
How it fits your stack
n8n or Activepieces trigger your crews on schedules and webhooks; results land back in your channels.
OpenClaw acts as the front desk: you brief the crew in chat and receive the finished output there.
Every install ships with
Hardened Docker deploy. Isolated containers behind a TLS reverse proxy, firewall rules applied.
Least-privilege keys. Model and exchange keys scoped to the minimum, stored server-side.
Access control. Authentication in front of every interface. Nothing listens naked on the internet.
Documented handover. Credentials, architecture notes and a rollback path, in writing.
Pricing
Fixed prices, billed in USD through Stripe. The one-time install is yours forever; the hosted plan renews monthly.
One-time. Hardened deploy on our host or yours, scoped keys, documented handover.
Monthly. Single-tenant hosting, 24/7 monitoring, updates and backups handled for you.
Questions
Do I need to write Python to use CrewAI?
Defining new crews is Python work. Our install ships your first crew configured with you, so day-to-day use is just running it; changing its logic later is code.
What does the hosted plan cover?
Your crews run on our hardened, single-tenant host with monitoring, updates and backups. You trigger them by schedule, webhook or chat, without touching the server.
Which models can the agents use?
Any major provider or a local model: CrewAI is model-agnostic. You bring your own API keys and stay in control of the spend.
Ready when you are.
Buy the install and we schedule it within days, or talk to an engineer first. Either way, you end up with a hardened instance and the keys in your hands.