crewailisted

# 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 ```bash # Core framework pip install crewai # With 50+ built-in tools pip install 'crewai[tools]' ``` ### Create project with CLI ```bash # Create new crew project crewai create crew my_project cd my_project # Install dependencies crewai install # Run the crew crewai run ``` ### Simple crew (code-only) ```python from crewai impo