CrewAI
Multi-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.
CrewAI is a Python framework for orchestrating multiple AI agents that collaborate on complex tasks. You define agents with specific roles (researcher, writer, reviewer), assign them goals and tools, then group them into a crew with a defined process (sequential or hierarchical). Each agent focuses on what it does best and passes results to the next. It supports tool integration, memory across interactions, and delegation between agents. CrewAI is more opinionated than LangGraph but significantly easier to get started with. For workflows like research-then-write or plan-then-execute, the role-based mental model maps naturally to how you would organize a human team.
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Get started with CrewAI
Multi-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.
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Vercel AI SDK
The TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.
Claude Agent SDK
Anthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.
LangChain / LangGraph
Most popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.
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