---
id: crewai
version: "1.15.16"
license: unclear
license_treatment: unclear
maintenance: active
---

# crewai — Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

License: unclear · Maintenance: active · Downloads: 12.3M/mo

## What it is and what it does

CrewAI is a framework for orchestrating autonomous AI agents that work together on complex tasks. It offers two complementary approaches: Crews, which are teams of agents with true autonomy and role-based collaboration, and Flows, which provide event-driven, production-ready workflows with fine-grained control. The framework is built independently from LangChain and other agent systems, emphasizing speed, flexibility, and low-level customization.

The package integrates with large language models (via openai and instructor), vector databases (chromadb, lancedb), document processing (pdfplumber), and observability tools (opentelemetry). It includes a CLI for project scaffolding and supports YAML-based configuration for agents and tasks. With 31 runtime dependencies, it provides a comprehensive toolkit for building production-grade agentic applications, though this also means a larger dependency footprint.

Use it for:

- Build autonomous multi-agent systems where specialized agents collaborate to solve complex business problems or research tasks.
- Create event-driven workflows that combine AI agents with deterministic Python logic for production automation.
- Orchestrate document analysis, data extraction, or research tasks by delegating work across multiple agents with different expertise.
- Develop role-playing agent simulations or interactive AI systems where agents take on specific personas and responsibilities.
- Monitor and trace AI agent execution in real-time using the integrated observability and telemetry capabilities.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

CrewAI is a Python framework for building multi-agent AI systems where autonomous agents collaborate to solve complex tasks, either through role-based crews or event-driven flows.

Yes, if you need to build multi-agent AI systems. CrewAI is actively maintained, widely adopted (12.3M monthly downloads, top 5000 packages), has no known vulnerabilities, and offers both high-level simplicity and low-level control. The main caveats are the unclear license (verify before commercial use), substantial dependency footprint, and the requirement for Python >=3.10 <3.14. Start with the free Crew Control Plane trial to evaluate the platform.

## Install

pip install crewai
uv add crewai
poetry add crewai

## Installing crewai

Before you install: Installation is straightforward with low friction; the package is actively maintained with a recent release and 57078 repository stars. The 31 runtime dependencies are substantial but typical for an agent framework, and the wheel distribution suggests good platform support.

License in practice: License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license at the repository or project homepage before adopting in proprietary or regulated contexts.

Quickstart:

pip install crewai

from crewai import Agent, Task, Crew

agent = Agent(role="Analyst", goal="Analyze data")
task = Task(description="Analyze the dataset", agent=agent)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()

Requires Python >=3.10 <3.14; Rust compiler may be needed for some optional dependencies like tiktoken.

Verify before relying:

- Whether the unclear license permits commercial use or has specific attribution requirements.
- Performance characteristics and scalability limits for large numbers of agents or complex workflows.
- Exact feature set and API stability guarantees across minor versions.

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 12.3M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

multi-agent AI orchestration, autonomous agent framework, AI agent collaboration, agent workflow automation, LLM agent coordination, agentic AI systems, agent task delegation, multi-agent-ai, agent-orchestration, workflow-automation

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