agents-crewai

Topics in the source

• CrewAI - Multi-Agent Orchestration Framework
• When to use CrewAI
• Quick start
• Installation
• Create project with CLI
• Simple crew (code-only)
• Core concepts
• Agents - Autonomous workers

Build teams of autonomous AI agents that collaborate to solve complex tasks. 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 Tasks execute in order, each agent completing their task before the next: Auto-creates a manager agent that delegates and coordinates: For complex workflows with conditional logic, use Flows: See Flows Guide for complete documenta

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