CrewAI
App : A product you use directly
Python framework for orchestrating teams of agents by roles.
The most accessible multi-agent framework for a first prototype.
Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.
What it does, concretely
Coordinating multiple AI agents on a complex task is challenging: each agent needs to know what it does, in what order, and how to pass its work to the next one. CrewAI addresses this by providing a Python framework that organizes teams of agents around defined roles, goals, and precise tasks.
In practice, CrewAI relies on two complementary mechanisms. Crews group autonomous agents that collaborate freely according to their roles, while Flows let you build event-driven action sequences with conditional logic and precise execution control. Both can be combined within the same project.
The tool is primarily aimed at Python developers who want to automate complex business processes, prototype agents, or deploy workflows in production. More than 100,000 developers have completed CrewAI's certified training courses, and the tool is used by 65% of Fortune 500 companies according to the official website.
However, CrewAI is not suited for people without Python knowledge: there is no consumer-facing graphical interface for building agents from scratch without writing code. Advanced governance, observability, and managed deployment features require subscribing to the commercial AMP Suite offering.
What it offers
- ·Creation of agent teams (Crews) with custom roles, goals, and backstories for each agent.
- ·Building event-driven workflows (Flows) with conditional branching and state management between steps.
- ·Support for multiple language models configured per agent, allowing the right model to be chosen for each task.
- ·Structured task system with outputs defined in JSON or via Pydantic, with optional human review before moving to the next step.
- ·Addition of custom tools in a dedicated folder, referenceable directly from agent configuration.
- ·Real-time tracing of every LLM call, tool call, and memory read, with full cost accounting (paid).
- ·Role-based access control, immutable audit trails, and human approval gates during execution (paid).
- ·On-premise or cloud deployment with advanced governance and security options via the AMP Suite (paid).
In practice
- Price
- Freemium
- Commercial use
- Commercial use: yes
- Available on
- cli, docker
- Licence
- MIT
Security and data
- Rating
- Security: nothing to flag
- Your data
- Data stays local
- Maintenance
- Active
- Last release
- 24 October 2026
Links and repository checked on 25 October 2026 · added on 1 November 2023
How to install CrewAI
uv tool install crewai