# CrewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Repository: https://github.com/crewAIInc/crewAI
Canonical: https://ross.abutalabs.com/products/crewai
Homepage: https://crewai.com
Language: Python
License: MIT
License Family: permissive
Topics: agents, ai, ai-agents, llms, aiagentframework
Last push: 2026-08-27T00:13:19+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 74
- inputs: {"age_days": 1041, "days_push": 7, "days_rel": 14, "gap_med": 5, "n_releases_24m": 116}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 57650, forks 8260 (observed 2026-08-28T04:12:18.572220+00:00)

## What it is
CrewAI is an open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate on complex tasks. It offers high-level Crews for autonomous multi-agent collaboration and event-driven Flows for precise workflow control.

## Use cases
- build multi-agent ai workflows in python
- orchestrate autonomous llm agents that collaborate
- automate complex tasks with role-based ai agents
- create event-driven agent pipelines
- build production-ready agentic automation
- coordinate ai agents with tools and roles

## When to choose
- you want a popular, well-documented Python framework for multi-agent LLM systems
- you need both autonomous agent collaboration and deterministic workflow control
- you want role-based agent design with tool integration
- you need a production-oriented agent framework with an active community

## When to avoid
- you need a single simple LLM call without agent orchestration overhead
- you require a framework in a language other than Python
- you want fully deterministic pipelines with no LLM autonomy
- you need minimal dependencies or a lightweight runtime

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, workflow-automation, prompt-engineering
- domain: artificial-intelligence, large-language-models
- platform: python, cross-platform
- tags: multi-agent, llm-orchestration, autonomous-agents, role-playing-agents, crewai-flows, python-framework, ai-agents, automation

## Member repositories
- crewAIInc/crewAI (main) score 89
- crewAIInc/crewAI-examples (examples) score 10
- crewAIInc/crewAI-tools (plugin) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:18.572220+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:18:20.518669+00:00, confidence not recorded.
  - readme: https://github.com/crewAIInc/crewAI (fetched 2026-08-28T04:12:18.572220+00:00, sha 3b0005032bea)
- Data as of 2026-08-30T08:39:29.467469+00:00.