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CrewAI
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CrewAI

Active·★ 59.5k·MIT·Updated 2026-10-08
★ Most Popular★ Trending★ Essential

CrewAI is an open-source Python framework for building multi-agent workflows that go from prototype to production. It combines two ideas: Crews, teams of role-based agents with goals, tools and tasks that collaborate and delegate autonomously, and Flows, event-driven workflows with state, branching and routing that give you precise control. You can use either on its own or combine them, keeping application logic in regular Python.

It suits developers who need more than a single prompt or chatbot: multi-step work with specialised agents, tool use, structured outputs, human review steps, or workflows that mix autonomous reasoning with explicit business logic. Examples in the repository include writing job descriptions, trip planning and stock analysis. Agents can use tools, memory, knowledge sources, checkpointing, async execution and MCP or A2A integrations, and local models are supported through tools such as Ollama and LM Studio.

Getting started: CrewAI requires Python 3.10 to 3.13 and uses uv for dependency management. Install uv, run `uv tool install crewai`, then `crewai create crew` to scaffold a project and `crewai run` to execute it. CrewAI is standalone and does not depend on LangChain.

#Multi-Agent Systems#AI Automation#Python#Orchestration#LLM Framework#Coding
$ Install
$ uv tool install crewai
↗ Visit site★ GitHub
01

Features

01Standalone & Lean
02Flexible & Precise
03Seamless Integration
04Deep Customization
05Reliable Performance
02

Why choose it

+Two complementary models in one framework: autonomous Crews where flexibility helps, deterministic Flows where control matters.
+Python-native and highly customisable, down to internal prompts, tools, state and execution paths.
+Production features built in: checkpointing, structured outputs, human input, async execution, MCP and A2A support.
+Large community and learning resources, and an MIT license for the open-source framework.
03

Trade-offs

!Anonymous telemetry is on by default (it can be disabled); detailed crew data is only shared if you opt in with share_crew.
!Managed deployment, observability and governance are part of the commercial CrewAI AMP Suite rather than the open-source framework.
!Multi-agent Crews make more model calls than a single agent, so cost and latency grow with crew size.
!Python only, with a specific supported range (3.10 to 3.13); Windows users may hit native build issues that need Visual Studio Build Tools.
04

Compatibility

OpenAI
Native
Verified via docs
05

Quick start

1
$ uv tool install crewai
06

Use cases

↳Write Job Descriptions
↳Trip Planner
↳Stock Analysis
07

How it compares

≈vs Microsoft AutoGen: AutoGen is now in maintenance mode and offers lower-level conversation primitives; CrewAI is actively developed and adds event-driven Flows for production control.
≈vs MetaGPT: MetaGPT ships a fixed software-company workflow; CrewAI lets you define any roles and processes you need.
≈vs LangGraph: LangGraph models agents as explicit graphs; CrewAI offers higher-level role and task abstractions and does not depend on LangChain.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 59.5k
Last commit1d ago
StatusActive
LicenseMIT
CategoryMulti-Agent
Trend (30d)
+2.3k↑ 4.9%
Links
Documentation↗Discussion↗Issues↗Releases↗

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