CrewAI
Multi-agent automation framework & studio to build and run AI crews
CrewAI
Lightning‑fast Python framework for autonomous multi‑agent automation
CrewAI is a high‑performance Python framework that lets developers build autonomous AI agent crews and event‑driven flows, offering deep customization, speed, and enterprise‑grade management tools.
Overview
Overview
CrewAI provides a lean, lightning‑fast Python foundation for building autonomous AI agents. Designed from the ground up, it operates independently of LangChain or other agent libraries, giving developers full control over both high‑level workflow design and low‑level agent behavior.
Capabilities
The framework introduces two complementary concepts: Crews, which are role‑based teams of agents that collaborate autonomously, and Flows, event‑driven pipelines that enable precise, single‑LLM call orchestration. Together they support complex, production‑grade applications while remaining flexible enough for simple tasks. For enterprises, the optional CrewAI AMP Suite adds a unified control plane, real‑time tracing, security controls, and on‑premise or cloud deployment options.
Adoption
Backed by a community of over 100,000 certified developers and comprehensive learning resources, CrewAI is suited for teams that need speed, customizability, and observability in their AI automation projects.
Highlights
Independent, built from scratch – no LangChain dependency
Crews: autonomous, role‑based agent teams
Flows: event‑driven, single‑LLM call orchestration
High‑performance execution with minimal resource usage
Pros
- Lightning‑fast execution and low resource footprint
- Full low‑level customization of agents and workflows
- Robust community with over 100,000 certified developers
- Enterprise‑ready AMP Suite with observability and security
Considerations
- Requires Python 3.10–3.13, limiting older environments
- Steeper learning curve for deep customizations
- Smaller ecosystem of third‑party integrations compared to larger frameworks
- Advanced features may need the paid AMP Suite
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Fit guide
Great for
- Developers building bespoke multi‑agent applications
- Enterprises needing secure, scalable AI automation
- Teams that want granular control over agent behavior
- Projects where performance and observability are critical
Not ideal when
- Users preferring out‑of‑the‑box plug‑and‑play agents
- Projects locked to older Python versions
- Teams heavily invested in LangChain or similar ecosystems
- Simple scripts where framework overhead outweighs benefits
How teams use it
Autonomous Customer Support Crew
Reduces response time by coordinating specialized support agents to handle tickets end‑to‑end.
Data Pipeline Orchestration with AI Decision Points
Streamlines processing by using Flows to trigger AI agents for conditional transformations.
Enterprise Compliance Reporting Automation
Delivers secure, auditable automation with real‑time tracing and analytics.
Real‑time Market Analysis Team
Generates faster insights through collaborative specialist agents evaluating live data.
Tech snapshot
Python98%
JavaScript2%
CSS1%
Jinja1%
Dockerfile1%
Frequently asked questions
Which Python versions does CrewAI support?
CrewAI requires Python >=3.10 and <3.14.
Is CrewAI dependent on LangChain or other agent frameworks?
No. CrewAI is built from scratch and operates independently of LangChain or similar libraries.
What does the CrewAI AMP Suite add?
The AMP Suite provides a unified control plane, tracing, observability, security features, integrations, analytics, and enterprise support.
Can CrewAI be deployed on‑premise?
Yes. The AMP Suite supports both on‑premise and cloud deployment options.
Where can I learn to use CrewAI?
Comprehensive courses are available at learn.crewai.com, covering basics to advanced multi‑agent implementations.
Project at a glance
Active- Stars
- 42,932
- Watchers
- 42,932
- Forks
- 5,765
LicenseMIT
Repo age2 years old
Last commityesterday
Primary languagePython
Last synced 23 hours ago