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name: crewai-multi-agent description: Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution. version: 1.0.0 author: Orchestra Research license: MIT tags: [Agents, CrewAI, Multi-Agent, Orchestration, Collaboration, Role-Based, Autonomous, Workflows, Memory, Production] dependencies: [crewai>=1.2.0, crewai-tools>=1.2.0]

CrewAI - Multi-Agent Orchestration Framework

Build teams of autonomous AI agents that collaborate to solve complex tasks.

When to use CrewAI

Use CrewAI when:

• Building multi-agent systems with specialized roles
• Need autonomous collaboration between agents
• Want role-based task delegation (researcher, writer, analyst)
• Require sequential or hierarchical process execution
• Building production workflows with memory and observability
• Need simpler setup than LangChain/LangGraph

Key features:

• Standalone: No LangChain dependencies, lean footprint
• Role-based: Agents have roles, goals, and backstories
• Dual paradigm: Crews (autonomous) + Flows (event-driven)
• 50+ tools: Web scraping, search, databases, AI services
• Memory: Short-term, long-term, and entity memory
• Production-ready: Tracing, enterprise features

Use alternatives instead:

• LangChain: General-purpose LLM apps, RAG pipelines
• LangGraph: Complex stateful workflows with cycles
• AutoGen: Microsoft ecosystem, multi-agent conversations
• LlamaIndex: Document Q&A, knowledge retrieval

Quick start

Installation

# Core framework
pip install crewai

# With 50+ built-in tools
pip install 'crewai[tools]'

Create project with CLI

# Create new crew project
crewai create crew my_project
cd my_project

# Insta