CrewAI

CrewAI is an open-source Python framework for orchestrating autonomous AI agents and building production-ready multi-agent workflows, built around two layered abstractions:

  1. A crew, which is a team of role-based agents that collaborate to complete a shared objective
  2. A flow, which manages application state, event-driven execution, and control logic across one or more crews.

Each agent in a crew is defined by a role, a goal, and a backstory, and can be equipped with built-in or custom tools for web search, file operations, and external API calls.

CrewAI includes a unified memory system, a single Memory class that consolidates what were previously separate short-term, long-term, entity, and external memory types, and it supports multiple LLM providers including OpenAI, Anthropic, and locally hosted models. It allows agents and tasks to be declared in JSONC configuration files, the default for new projects scaffolded with crewai create crew, or configured directly in Python. Classic YAML projects created with --classic remain supported.

The open-source framework is released under the MIT License. CrewAI also offers CrewAI AMP Suite, a commercial control plane that adds managed deployment, observability, governance, and enterprise support.

Official website: crewai.com

Coordinating Teams of AI Agents with CrewAI in Python

Tutorial

CrewAI in Python: Coordinating Teams of AI Agents

Learn how to use CrewAI to build teams of AI agents in Python, define roles and tools, and coordinate multi-agent workflows that solve complex tasks.

intermediate ai

For additional information on related topics, take a look at the following resources:

By Leodanis Pozo Ramos • Updated Aug. 28, 2026
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