OpenAI Agents SDK
Lightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.
The OpenAI Agents SDK (the production successor to Swarm) is a minimal Python framework for building multi-agent systems. Core concepts: Agents (an LLM + instructions + tools), Handoffs (agents delegating to specialists), Guardrails (input/output validation), and Tracing (built-in observability). It's deliberately lightweight - no heavy abstractions or state management. You define agents as simple Python objects, wire them together with handoffs, and the SDK handles the orchestration. It works with any OpenAI model and supports streaming. Good for building customer service bots, research agents, and workflow automation.
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Lightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.
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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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