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CrewAI: Multi-Agent Automation Framework for Production Workflows
CrewAI is the most-used open-source Python framework for running teams of AI agents on complex tasks — 58k stars, 100k+ certified developers, three years in production.
CrewAI is an open-source Python framework for building multi-agent workflows. It offers two main abstractions: Crews (role-based autonomous agent collaboration where each agent has a specific role and goal) and Flows (event-driven automations that combine precise control, single LLM calls, and native support for Crews). Agents can use tools, share memory, and hand off work to each other. The framework works with any LLM. CrewAI has been in active production use for three years with over 58k stars and more than 100k developers certified through community courses. A commercial control plane called AMP Suite is also available for enterprise observability and managed deployment.
Why a vibe-coder should care
If you want your agent to handle a multi-step process — research, writing, review, competitive analysis, content series — CrewAI is what your agent would use to build that. You describe the workflow and roles; the agent writes the code. It is the established standard for this pattern, so documentation, examples, and community help are plentiful.
How to install
Copy this and send it to your agent — Claude Code, Codex, any of them:
Explore CrewAI: https://github.com/crewAIInc/crewAI — a Python framework for multi-agent teamwork. Set up a simple Crew from the README: a researcher agent and a writer agent for a weekly report on my topic [specify topic]. Run it and show me the result.
Requires Python — your agent can install it. Runs on any laptop.
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